Distribute Tokens logo

Distribute Tokens

Organization
aeonfun
distribute-tokens

Two-phase contributor rewards - plan builds a tier-priced payout from the repo's merged-PR ranking; send executes it on-chain via Bankr Wallet API with per-recipient idempotency and dry-run.

Overview

Publisheraeonfun
Repositoryaeon
Skill namedistribute-tokens
Stars
771
Forks
280
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by aeonfun on GitHub. Read the source before you install it.

Installation

Install the Distribute Tokens AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/aeonfun/aeon/tree/main/skills/distribute-tokens
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/aeonfun/aeon.git /tmp/aeon
mkdir -p .claude/skills
cp -r /tmp/aeon/skills/distribute-tokens .claude/skills/distribute-tokens
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Distribute Tokens in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Distribute Tokens on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Distribute Tokens is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

${var} — Phase + target selector. Grammar: [plan:|all:][dry-run:]<target>

  • `` (empty) / <label> / dry-run:<label> → send phase: distribute a list from memory/distributions.yml (empty = first list). [default — no prefix]
  • plan: / plan:<week> / plan:dry-run / plan:dry-run:<week> → plan phase only: compute rewards from the repo's merged PRs and write the list into memory/distributions.yml.
  • all: / all:<week> / all:dry-run / all:dry-run:<week> → plan then send in one run.

<label> is a distribution-list label (e.g. contributors-2026-W17). <week> is an ISO week (2026-W17); empty <week> = most recent completed ISO week. dry-run: previews without side effects (no yml/state writes in plan; no transfers in send).

Why this design

This skill owns the whole contributor flywheel: who deserves what (plan) and moving the money (send). It is split into two phases that can run independently or chained.

Plan phase — the wiring the project was missing. Merged PRs already name the people moving the project, but shipped work had no path to a wallet credit. The plan phase is that wiring: it ranks contributors by the PRs they merged in the target week (straight from the GitHub API), prices each eligible contributor against a tier table, and writes a labelled list into memory/distributions.yml — the exact file the send phase reads. Keeping a human-visible diff on memory/distributions.yml between plan and execution is the cheapest possible audit trail when real money is involved: the plan lands in git, and the operator (or all: mode, or a chained step) runs the send next.

Send phase — this moves real money. The biggest failure mode is double-sending (re-runs, retries after partial failures, day-rollover bypass of "skip if today" logic) or sending into a black hole (no preflight balance, deprecated API path, missing handle resolution). The send phase therefore:

  1. Persists per-recipient idempotency state in memory/state/distributions.json keyed on (list, recipient, date_utc) with the txHash. A successful transfer is never re-sent within the same UTC day, even across re-runs or workflow restarts.
  2. Two-phase execution: RESOLVE (validate config, key, balance, resolve all handles → addresses, build plan) → EXECUTE (send each transfer, persist state after each one). RESOLVE failures abort before any send.
  3. Dry-run mode outputs the full plan with no transfers.
  4. Wallet API only for actual transfers — Bankr's docs deprecate the Agent API for transfers. Agent API is used only for handle→address resolution.

The two phases stay decoupled by design: the send phase is the only sanctioned transfer path and owns the idempotency state file, so the plan phase never touches transfer state. all: mode simply runs plan then send in sequence (plan writes the list, send reads it), so nothing is re-implemented.

Config

Reads two independent config/state surfaces depending on phase:

  • memory/distributions.yml — the distribution lists (read by send, written by plan).
  • The plan phase computes its ranking live from the repo's merged PRs via the GitHub API — no input file (see Phase A).
  • memory/state/distributions.json — per-recipient send idempotency (read/written by send).
  • memory/state/contributor-reward-state.json — plan idempotency + first-PR-bonus history (read/written by plan).

If memory/distributions.yml is missing when the send phase needs it, bootstrap with a commented template (see Send Step 1) and exit cleanly with DISTRIBUTE_TOKENS_OK — bootstrapped distributions.yml; edit and re-run.

yaml
# memory/distributions.yml
defaults:
  token: USDC          # USDC | ETH (Base only)
  amount: "5"
  chain: base

lists:
  contributors:
    description: "Weekly contributor rewards"
    token: USDC
    amount: "10"
    recipients:
      - handle: "@alice_dev"      # Twitter/X — resolved via Bankr Agent API
        amount: "15"
      - handle: "@bob_builder"
      - address: "0x742d...5678"  # direct EVM address — preferred path
        label: "Charlie"
        amount: "20"

Required secrets

SecretPhasePurpose
BANKR_API_KEYsend (and any dry-run send, which still preflights)Bankr API key (bk_...). Must be read-write with Wallet API enabled. Read-only keys → 403. Not needed for plan: (pure local file I/O).

Token addresses on Base

  • USDC: 0x833589fcd6edb6e08f4c7c32d4f71b54bda02913
  • ETH (native): tokenAddress: "0x0000000000000000000000000000000000000000", isNativeToken: true

Tier pricing (plan phase)

Rank in leaderboardReward (USDC)
125
215
310
45
55

First-PR bonus: +5 USDC, additive, applied once-ever per login (tracked in memory/state/contributor-reward-state.json). Rewards landing your first merged upstream PR — the highest-leverage signal in the leaderboard scoring.

Eligibility floor: score ≥ 10 AND the contributor must own a non-empty @handle (logins without @ prefix in the table are skipped — bots and parsing artifacts). A single merged upstream PR (+10) qualifies — the goal is to reward shipped work, not gate on volume.

Default token: USDC on Base. Operator can override per-recipient amounts in memory/distributions.yml after the plan is written if a special bonus is warranted.


Read memory/MEMORY.md and scan the last ~3 days of memory/logs/ for anything already reported (don't re-report the same signal).

Step 0 — Parse the selector and dispatch

Resolve time anchors up front: today=$(date -u +%F) and today_utc="$today".

Parse ${var}:

  1. Phase prefix. If ${var} starts with plan: → PHASE=plan, strip plan:. Else if it starts with all: → PHASE=all, strip all:. Else → PHASE=send and do not strip anything (the remaining legacy grammar is parsed by the send phase itself).
  2. Dry-run. For PHASE=plan/all: if the remainder starts with dry-run (optionally dry-run:), set MODE=dry-run and strip that token; else MODE=execute. (For PHASE=send, the send phase parses dry-run: itself — see Send Step 1.)
  3. Target.
    • PHASE=send: the (unstripped) var is the send target — dry-run:<label> or <label> or empty.
    • PHASE=plan/all: the remainder is an optional <week>. If it matches ^\d{4}-W\d{2}$, set TARGET_WEEK=<week>; else compute TARGET_WEEK=$(date -u +%G-W%V) (ISO-8601 week-numbering year + week — %G/%V not %Y/%U, so Monday-anchored weeks roll over correctly across years).

Dispatch:

  • PHASE=plan → run Phase A only.
  • PHASE=send → run Phase B only.
  • PHASE=all → run Phase C (A then B).

Selector examples: `` → send first list · contributors-2026-W17 → send that list · dry-run:contributors-2026-W17 → dry-run send · plan: → plan most recent leaderboard · plan:2026-W17 → plan that week · plan:dry-run → plan preview · all: → plan + send most recent · all:dry-run:2026-W17 → full end-to-end preview for that week.


Phase A — Plan (reward computation)

Ranks the target week's merged-PR authors (GitHub API) and turns that ranking into a tier-priced list in memory/distributions.yml.

A1. Determine the target week and repo

  • REPO="${GITHUB_REPOSITORY:-$(git config --get remote.origin.url | sed -E 's#.*[:/]([^/]+/[^/]+?)(\.git)?$#\1#')}" — the running instance's repo.
  • TARGET_WEEK comes from the selector; empty = the most recent completed ISO week (the last full Mon–Sun). Compute its UTC bounds WEEK_START..WEEK_END as ISO datetimes (YYYY-MM-DDT00:00:00Z).

A2. Rank contributors by merged PRs in the week

Compute the ranking directly from GitHub — no upstream skill or article required.

  • Fetch every PR merged inside the window, by author: gh api -X GET search/issues -f q="repo:${REPO} is:pr is:merged merged:${WEEK_START}..${WEEK_END}" --paginate --jq '.items[].user.login'
  • Drop bot authors (*[bot], dependabot*, github-actions*). Count each remaining login's merged PRs → score. Rank by score descending; tie-break by earliest merge time, then login ascending.
  • First-PR ✨ per ranked login — did they have any prior merged PR to the repo? gh api -X GET search/issues -f q="repo:${REPO} is:pr is:merged author:${login} merged:<${WEEK_START}" --jq '.total_count' → 0 means this is their first-ever merged PR (set first_pr_marker = ✨).
  • If zero merged PRs in the window → log CONTRIBUTOR_REWARD_NO_MERGED_PRS — week ${TARGET_WEEK} to memory/logs/${today}.md, exit silently (no notify). Nothing shipped, nothing to reward.
  • If the GitHub API is unreachable (see Network note for the gh api → WebFetch fallback) → log CONTRIBUTOR_REWARD_API_FAIL, notify the operator, exit.

A3. Load plan idempotency state

json
// memory/state/contributor-reward-state.json
{
  "weeks": {
    "2026-W17": {
      "written_at": "2026-04-26T09:00:00Z",
      "label": "contributors-2026-W17",
      "source": "github:merged-prs",
      "rewards": [
        { "login": "alice_dev", "rank": 1, "score": 47, "amount": "25", "first_pr_bonus": false },
        { "login": "bob_builder", "rank": 2, "score": 31, "amount": "20", "first_pr_bonus": true }
      ]
    }
  },
  "first_pr_bonus_paid": ["bob_builder", "carol_eng"]
}

Bootstrap with {"weeks": {}, "first_pr_bonus_paid": []} if the file doesn't exist.

A4. Compute the plan

For each ranked login with rank ≤ 5 AND score ≥ 1 (at least one merged PR):

  • Look up base_amount from the tier table (rank 1→25, 2→15, 3→10, 4-5→5).
  • If first_pr_marker == "✨" AND login ∉ first_pr_bonus_paid → set first_pr_bonus = true, amount = base_amount + 5. Otherwise first_pr_bonus = false, amount = base_amount.
  • Build row: { rank, login, score, base_amount, first_pr_bonus, amount }.

If weeks[TARGET_WEEK] already exists in state → this week was already processed. Diff the current plan against state.weeks[TARGET_WEEK].rewards keyed on login:

  • If diffs are empty (same logins, same amounts) → log CONTRIBUTOR_REWARD_ALREADY_PROCESSED — week ${TARGET_WEEK}, exit silently (no notify). Idempotent re-run.
  • If diffs exist (leaderboard re-ran after first reward write — late tweet bumped a score, etc.) → flag RE_PROCESS. Continue but don't re-pay anyone already in state.weeks[TARGET_WEEK].rewards; add only the deltas. New entries get full reward; existing entries with bumped amounts get the delta (e.g. moved from rank 3→2 = additional 5 USDC top-up). Demoted entries are not clawed back.

If the plan is empty (zero eligible contributors after threshold + dedup) → log CONTRIBUTOR_REWARD_NO_ELIGIBLE and exit silently.

A5. Render the plan

Contributor Reward Plan — ${TARGET_WEEK} (${MODE})

Source: ${LEADERBOARD_FILE}
Tier: rank 1=25, 2=15, 3=10, 4-5=5 USDC; first-PR bonus +5 once per login.

  ✓ #1 @alice_dev      score 47  →  25 USDC                  [NEW]
  ✓ #2 @bob_builder    score 31  →  20 USDC (15 + 5 first-PR)[NEW + BONUS]
  ✓ #3 @carol_eng      score 24  →  10 USDC                  [NEW]
  ✓ #4 @dave_ops       score 18  →   5 USDC                  [NEW]
  ↻ #5 @eve_hax        score 14  →   5 USDC                  [DEDUP — already in state]

Total to write: 60 USDC across 4 new entries.
Total in state for ${TARGET_WEEK} after write: 5 entries, 65 USDC.

Next: distribute-tokens "dry-run:contributors-${TARGET_WEEK}" (preview)
      distribute-tokens "contributors-${TARGET_WEEK}"          (execute)

If MODE=dry-run (plan-only dry-run, i.e. plan:dry-run...): notify this plan with header *Contributor Reward Plan — ${TARGET_WEEK}* — DRY RUN, log to memory/logs/${today}.md, exit CONTRIBUTOR_REWARD_DRY_RUN. Do not touch memory/distributions.yml or the state file.

all: mode note: when this phase runs as part of all: with MODE=dry-run, do not notify here and do not exit — hand the computed plan rows straight to Phase B (see Phase C). When all: runs with MODE=execute, continue through A6–A8 normally but replace the trailing Next: line in the A9 notification with Distributing now (phase=all)….

A6. Update memory/distributions.yml (skipped when MODE=dry-run)

Read memory/distributions.yml. If missing → bootstrap with the standard header (matching the send-phase bootstrap style):

yaml
# memory/distributions.yml
defaults:
  token: USDC
  amount: "5"
  chain: base

lists:

Compute the new list block:

yaml
  contributors-${TARGET_WEEK}:
    description: "Weekly contributor rewards for ${TARGET_WEEK} (auto-generated from merged-PR ranking)"
    token: USDC
    amount: "5"
    recipients:
      - handle: "@alice_dev"
        amount: "25"        # rank 1
      - handle: "@bob_builder"
        amount: "20"        # rank 2 + first-PR bonus
      - handle: "@carol_eng"
        amount: "10"        # rank 3
      - handle: "@dave_ops"
        amount: "5"         # rank 4

Recipient ordering matches plan order (rank ascending). Per-recipient amount is required so the send phase picks up the tier-priced value rather than falling back to the list default.

Update strategy:

  • If a list named contributors-${TARGET_WEEK} already exists in the YAML, replace it wholesale (the plan is the authoritative current state).
  • Otherwise append the block under lists: (preserving existing lists — never rewrite them).
  • Use a YAML-aware update (e.g. python -c "import yaml; ..." if available, otherwise a careful text-based block replacement keyed on the ^ contributors-${TARGET_WEEK}:$ line). If YAML parse fails on the existing file → log error, do not write, notify the operator (file is hand-edited; auto-edit would clobber).

Verify the write by re-reading the file and confirming the list is present and has len(recipients) == len(plan).

A7. Update plan state file (skipped when MODE=dry-run)

Atomically write the updated state JSON to memory/state/contributor-reward-state.json:

  • Set weeks[TARGET_WEEK] = { written_at: now_utc, label, source: "github:merged-prs", rewards: [{login, rank, score, amount, first_pr_bonus}, ...] } (full replacement on RE_PROCESS, otherwise additive).
  • Append any logins where first_pr_bonus == true to first_pr_bonus_paid (deduplicated).

Write to a tempfile and mv over the target so partial writes can't corrupt state.

A8. Notify (plan-only execute)

*Contributor Reward Plan — ${TARGET_WEEK}*

Wrote ${N_NEW} new entries (${TOTAL_USDC} USDC) to memory/distributions.yml as `contributors-${TARGET_WEEK}`.

Top of plan:
  #1 @alice_dev   — 25 USDC
  #2 @bob_builder — 20 USDC (✨ first-PR bonus)
  #3 @carol_eng   — 10 USDC
  #4 @dave_ops    —  5 USDC
${IF_DEDUP}

Source: ${LEADERBOARD_FILE}
First-PR bonuses awarded: ${LIST_OR_NONE}

Next: run `distribute-tokens dry-run:contributors-${TARGET_WEEK}` to preview, then drop the `dry-run:` prefix to execute.

Plan: https://github.com/${GITHUB_REPOSITORY}/blob/main/memory/distributions.yml

Suppress the ${IF_DEDUP} line when no entries were deduped. Use $GITHUB_REPOSITORY env var for the link target. Send via ./notify.

Significance gate: notify only when N_NEW ≥ 1. Re-process runs that produced zero new entries (RE_PROCESS with all rewards already paid) → silent log only. (In all: execute, skip this notify per the A5 note; the send-phase summary carries the report.)

Then log (see Log) and exit CONTRIBUTOR_REWARD_OK.


Phase B — Send (on-chain distribution)

Reads a list from memory/distributions.yml and executes transfers via Bankr Wallet API. This phase moves real money — idempotency and preflight are non-negotiable.

Read memory/state/distributions.json (if present) for send idempotency state before doing anything.

B1. Parse the send target and load config

  • If the send target starts with dry-run:, set MODE=dry-run and LABEL=${target#dry-run:}. Otherwise MODE=execute and LABEL=${target}. (When entered from Phase C, LABEL and MODE are set by Phase C instead — see Phase C.)
  • If memory/distributions.yml missing → Bootstrap: write the example config from the Config section (commented out so it's inert), notify DISTRIBUTE_TOKENS_OK — bootstrapped distributions.yml; edit and re-run, log, exit.
  • Parse YAML. If LABEL empty, use the first list. Else find the matching list. If not found → notify DISTRIBUTE_TOKENS_ERROR — list '${LABEL}' not found, log, exit.
  • (today_utc was resolved in Step 0.)

B2. Pre-flight: key, write access, balance

If BANKR_API_KEY not set → DISTRIBUTE_TOKENS_ERROR — BANKR_API_KEY not configured, log, exit.

bash
ME=$(./secretcurl -fsS "https://api.bankr.bot/wallet/me" -H "X-API-Key: {BANKR_API_KEY}")
  • HTTP 403 → DISTRIBUTE_TOKENS_ERROR — API key is read-only; needs wallet write scope, exit.
  • HTTP 429 → DISTRIBUTE_TOKENS_ERROR — rate-limited at /wallet/me; aborting, exit.
  • Network failure → use WebFetch fallback. If still failing → DISTRIBUTE_TOKENS_ERROR — Bankr /wallet/me unreachable, exit.
bash
PORTFOLIO=$(./secretcurl -fsS "https://api.bankr.bot/wallet/portfolio?chain=base" -H "X-API-Key: {BANKR_API_KEY}")

Extract sender's balance for the target token. Compute total_required from the recipient list (sum of per-recipient amounts, applying overrides). If balance < total_required * 1.05 (5% headroom for any failed retries) → DISTRIBUTE_TOKENS_ERROR — insufficient balance: have X, need Y ${TOKEN}, exit. Do not start a partial run.

B3. RESOLVE phase — build the plan

For each recipient, build a row: {key, type, amount, token, target_address, label, status} where key = sha256("${LABEL}|${recipient_id}|${today_utc}") and recipient_id is the handle (lowercase) or address (lowercase).

Idempotency check (before resolving): if memory/state/distributions.json contains key with status=completed → mark row SKIPPED_DEDUP, carry forward the prior txHash.

Handle resolution (@username): use Bankr Agent API to look up the linked wallet:

bash
JOB=$(./secretcurl -fsS -X POST "https://api.bankr.bot/agent/prompt" \
  -H "X-API-Key: {BANKR_API_KEY}" -H "Content-Type: application/json" \
  -d "{\"prompt\":\"What is the EVM address linked to ${HANDLE} on Base? Respond with only the address.\"}" | jq -r '.jobId')
# Poll every 2s, max 30s
for i in $(seq 1 15); do
  R=$(./secretcurl -fsS "https://api.bankr.bot/agent/job/${JOB}" -H "X-API-Key: {BANKR_API_KEY}")
  S=$(echo "$R" | jq -r '.status')
  [ "$S" = "completed" ] || [ "$S" = "failed" ] && break
  sleep 2
done

Extract the address from the response (regex 0x[a-fA-F0-9]{40}). If extraction fails → mark row RESOLVE_FAILED with reason NO_LINKED_WALLET. Do not abort the whole plan; let the executor skip this row.

Address resolution (0x...): validate format ^0x[a-fA-F0-9]{40}$. If invalid → RESOLVE_FAILED reason BAD_ADDRESS.

After RESOLVE, print the plan to the console (and to the dry-run notification if MODE=dry-run):

Plan for list '${LABEL}' (${today_utc}):
  ✓ @alice_dev → 0x1234... — 15 USDC          [READY]
  ✓ Charlie    → 0x742d... — 20 USDC          [READY]
  ↻ @bob_builder → 0xabcd... — 10 USDC        [SKIPPED_DEDUP] (tx 0xprev...)
  ✗ @inactive → ?                             [RESOLVE_FAILED: NO_LINKED_WALLET]

Summary: 2 to send (35 USDC), 1 deduped, 1 unresolvable. Sender balance: 100 USDC.

If MODE=dry-run: notify the plan, log, exit DISTRIBUTE_TOKENS_DRY_RUN. Do not proceed.

If 0 rows are READY (everything deduped/failed) → notify the plan, log, exit DISTRIBUTE_TOKENS_OK — nothing to send.

B4. EXECUTE phase

For each READY row, send via /wallet/transfer (the only sanctioned transfer endpoint per Bankr docs):

bash
RESP=$(./secretcurl -fsS -X POST "https://api.bankr.bot/wallet/transfer" \
  -H "X-API-Key: {BANKR_API_KEY}" -H "Content-Type: application/json" \
  -d "{\"recipientAddress\":\"${ADDR}\",\"tokenAddress\":\"${TOKEN_ADDR}\",\"amount\":\"${AMT}\",\"isNativeToken\":${IS_NATIVE}}")

Outcome handling:

  • HTTP 200 + success: true → status COMPLETED, store txHash. Persist the state file immediately (write after every recipient, not at the end — survives mid-run crashes).
  • HTTP 200 + success: false → status FAILED, store error field as reason.
  • HTTP 403 → status FAILED reason READ_ONLY_KEY. Abort remaining rows (key won't suddenly gain write access). Persist state.
  • HTTP 429 → status FAILED reason RATE_LIMIT. Sleep 60s, retry once. If still 429, abort remaining (rolling-window quota exhausted). Persist state.
  • HTTP 5xx or network error → retry once after 10s. If still failing, status FAILED reason API_ERROR.
  • Any other → status FAILED reason HTTP_${code}.

State file shape (memory/state/distributions.json, append/upsert):

json
{
  "contributors|@alice_dev|2026-04-20": {
    "list": "contributors",
    "recipient": "@alice_dev",
    "address": "0x1234...",
    "amount": "15",
    "token": "USDC",
    "status": "completed",
    "txHash": "0xabc...",
    "timestamp": "2026-04-20T12:34:56Z"
  }
}

B5. Build summary notification

Top line is a verdict: COMPLETE (all READY succeeded) / PARTIAL (some failed) / FAILED (none succeeded) / DRY_RUN / NOTHING_TO_SEND.

*Token Distribution — ${today_utc}* — VERDICT

List: ${LABEL} (${description})
Token: ${TOKEN} on Base
Sent: ${total_sent} ${TOKEN} to ${n_success}/${n_attempted} recipients
Skipped (already sent today): ${n_dedup}
Unresolvable: ${n_unresolved}

✓ @alice_dev — 15 USDC ([tx](https://basescan.org/tx/0xabc...))
✓ Charlie (0x742d...) — 20 USDC ([tx](https://basescan.org/tx/0x123...))
↻ @bob_builder — 10 USDC (already sent: [tx](https://basescan.org/tx/0xprev...))
✗ @inactive_user — RESOLVE_FAILED: NO_LINKED_WALLET

Sender balance after: ${remaining} ${TOKEN}

Suppress empty sections (no Skipped: line if n_dedup=0, etc.). Send via ./notify. Then log (see Log) and exit with the send verdict code (DISTRIBUTE_TOKENS_COMPLETE / DISTRIBUTE_TOKENS_PARTIAL / DISTRIBUTE_TOKENS_OK for nothing-to-send).


Phase C — All (plan then send)

Runs Phase A, then feeds it into Phase B in one invocation. TARGET_WEEK and MODE come from Step 0.

all: execute (MODE=execute):

  1. Run Phase A in execute mode (A1–A8). It writes contributors-${TARGET_WEEK} into memory/distributions.yml + state and posts the plan notification (with the A5-note tweak: trailing line becomes Distributing now (phase=all)…).
  2. If Phase A took a terminal early exit — CONTRIBUTOR_REWARD_NO_LEADERBOARD, _STALE_LEADERBOARD, _PARSE_FAIL, _NO_ELIGIBLE, or _ALREADY_PROCESSED with zero new entries — stop: there is nothing to send. Log and exit with that Phase A code.
  3. Otherwise set LABEL="contributors-${TARGET_WEEK}", MODE=execute, and run Phase B (B1 reads the just-written list from memory/distributions.yml; B2–B5 as normal). The send-phase summary is the final notification.

all: dry-run (MODE=dry-run): full end-to-end preview, no writes, no transfers.

  1. Run Phase A in dry-run mode (A1–A5) to compute the plan — but per the A5 note, do not notify or exit here; hold the computed plan rows in memory.
  2. Enter Phase B with an in-memory recipient list built from the plan rows (handle="@${login}", amount=<tier amount>) instead of reading memory/distributions.yml; set LABEL="contributors-${TARGET_WEEK}", MODE=dry-run. Run B2 (preflight — this still calls Bankr /wallet/me + /portfolio, so BANKR_API_KEY is required for this preview; if absent, report DISTRIBUTE_TOKENS_ERROR — BANKR_API_KEY not configured for the send preview but keep the rendered plan) and B3 (RESOLVE + print). B3's MODE=dry-run branch notifies the combined preview and exits DISTRIBUTE_TOKENS_DRY_RUN. No state or yml is written by either phase.

Log

Append to memory/logs/${today}.md under one heading (the health loop parses this shape). Always use ### distribute-tokens; the Phase/Mode discriminator lines say which branch ran.

### distribute-tokens
- Phase: plan | send | all
- Mode: execute | dry-run
# --- plan phase (present when Phase A ran) ---
- Plan mode: execute | dry-run | already-processed | no-merged-prs | api-fail | no-eligible
- Week: ${TARGET_WEEK}
- Source: GitHub merged PRs for ${TARGET_WEEK}
- List label: contributors-${TARGET_WEEK}
- Entries written (new): ${N_NEW} | deduped: ${N_DEDUP} | total USDC planned: ${TOTAL_USDC}
- First-PR bonuses: [list or "none"]
# --- send phase (present when Phase B ran) ---
- List: ${LABEL} | Token: ${TOKEN}
- Verdict: ${VERDICT}
- Sent: ${total_sent} ${TOKEN} to ${n_success}/${n_attempted}; deduped: ${n_dedup}; unresolved: ${n_unresolved}
- Failures (if any): @x — REASON, @y — REASON
- State file: memory/state/distributions.json (${total_keys} entries)
- Notification sent: yes/no

Omit the block for whichever phase did not run.

Exit codes (for downstream automation)

Plan phase (Phase A):

  • CONTRIBUTOR_REWARD_OK — plan written, notification sent
  • CONTRIBUTOR_REWARD_DRY_RUN — plan rendered, no writes, notification sent
  • CONTRIBUTOR_REWARD_ALREADY_PROCESSED — week already in state with identical plan, silent exit
  • CONTRIBUTOR_REWARD_NO_MERGED_PRS — no PRs merged in the target week, silent exit
  • CONTRIBUTOR_REWARD_API_FAIL — GitHub API unreachable (gh api + WebFetch both failed), notified
  • CONTRIBUTOR_REWARD_NO_ELIGIBLE — zero contributors above threshold, silent exit
  • CONTRIBUTOR_REWARD_ERROR — file I/O or YAML write failure, notified

Send phase (Phase B):

  • DISTRIBUTE_TOKENS_OK — nothing to send (everything deduped or list empty), or bootstrap
  • DISTRIBUTE_TOKENS_COMPLETE — all READY rows succeeded
  • DISTRIBUTE_TOKENS_PARTIAL — some succeeded, some failed
  • DISTRIBUTE_TOKENS_DRY_RUN — dry-run completed, no sends
  • DISTRIBUTE_TOKENS_ERROR — preflight or config failure, no sends attempted

For all:, the terminal exit code is the send phase's code (or the Phase A early-exit code when the plan produced nothing to send).

Network note

  • Plan phase (A): ranks contributors via gh api search/issues (gh handles GitHub auth internally, so no secret ever lands on the command line). If gh api fails, fall back to WebFetch on the public https://api.github.com/search/issues?q=… URL. Also reads/writes memory/state/contributor-reward-state.json, memory/distributions.yml, memory/logs/${today}.md. No postprocess scripts required.
  • Send phase (B): every Bankr call is auth'd, so make it with ./secretcurl using the {BANKR_API_KEY} placeholder — never a bare $BANKR_API_KEY (the Bash permission layer refuses a secret on the command line) and never plain curl. /wallet/transfer is an irreversible money-movement write; it runs in-run as the executor's final action (Phase B4), behind the B2 balance preflight and the per-recipient idempotency in memory/state/distributions.json (persisted after every send, so re-runs never double-pay). There is no deferred/postprocess step — a failed transfer is recorded (FAILED with its reason) and the run continues to the next row. Never silently drop a transfer.

Constraints

Send (money movement):

  • Idempotency is non-negotiable. Always read memory/state/distributions.json before sending; always persist after every transfer. Never batch state writes to end-of-run.
  • Treat the 24h Bankr rate limit (100/day standard) as a hard cap. Lists >50 recipients should be split.
  • Never send if preflight balance is < total_required * 1.05.
  • Never use the Agent API for transfers (deprecated). Agent API only for handle→address resolution.
  • Never abort the RESOLVE phase on a single bad recipient — collect all errors, present them, then let the executor skip.

Plan (reward computation):

  • Idempotency is per-(week, login). Re-runs in the same week add only deltas; demotions never claw back already-paid amounts.
  • First-PR bonus is once-ever per login. Track in first_pr_bonus_paid; never re-award even if the same person appears as ✨ in a later week (which they shouldn't, since ✨ means first ever merged PR — but defend against API drift).
  • No silent overwrites of distributions.yml. If the file exists and is malformed, fail loudly rather than rewriting.
  • Eligibility floor stays low (≥ 1 merged PR) by design. A single PR merged in the week qualifies — reward shipped work, not volume.

Future iterations

  • Schedule all: directly (weekly, after the week closes) for full hands-off payout — the plan computes its own ranking from merged PRs, so no upstream skill or chain wiring is needed.
  • Add a Bankr Agent API "wallet-linked?" pre-filter in the plan phase so contributors without linked wallets are flagged in the notification (prevents the send phase from logging RESOLVE_FAILED rows on every run).
  • Tier table should become operator-configurable via memory/contributor-reward-config.yml once the first month of runs reveals the right curve. Hardcoded for v1.

Frequently asked questions

What does the Distribute Tokens AI skill do?

Two-phase contributor rewards - plan builds a tier-priced payout from the repo's merged-PR ranking; send executes it on-chain via Bankr Wallet API with per-recipient idempotency and dry-run.

Why use Distribute Tokens on TypingMind?

Because you install it once and use it with any model. Distribute Tokens is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Distribute Tokens in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/aeonfun/aeon/tree/main/skills/distribute-tokens. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Distribute Tokens?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Distribute Tokens?

As many as you like. As long as a model supports skills, you can use Distribute Tokens with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Distribute Tokens AI skill free?

Yes. It is published on GitHub by aeonfun under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇