Price Alert logo

Price Alert

Organization
aeonfun
price-alert

Fire when the tracked token does something - new ATH, sharp 1h move, or operator-set target crossed. Silent on normal days.

Overview

Publisheraeonfun
Repositoryaeon
Skill nameprice-alert
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 Price Alert 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/price-alert
  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/price-alert .claude/skills/price-alert
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Price Alert 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 Price Alert 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 Price Alert 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} — Optional. Pass one or more target_price levels (comma-separated USD numbers, scientific notation allowed) to fire a one-time alert when the price crosses any of them. Empty = only ATH and sharp-move gates run. Pass dry-run to skip notify (state still updates). Pass set-target:<price> — the shape the Telegram force-reply sends (step 7) — to register a target and get a one-line confirmation.

Today is ${today}. The scheduled digests (digest, token-movers, ...) run at fixed hours. None of them tell the operator "the price just hit a new high" or "the token moved 28% in the last hour" — both are events that warrant attention the moment they happen, not 14 hours later in a daily digest. This skill closes that window.

Why this exists

Scheduled daily digests are calm summaries. Real moves need real-time signal. Three classes of move are worth a same-day ping:

  • New all-time high. The single most narrative-shaping price event a token can have. Worth marking on the timeline regardless of size.
  • Sharp 1h moves (±20%). Either a buyer wave or a liquidation cascade — both change what the operator does next (post about it, watch for follow-through, check the chart).
  • Operator-set target crossings. The operator may want to know when price clears $X (often a personal stretch goal or a level tied to a tweet/launch). One alert per target per direction.

Everything else is noise not worth a same-day ping.

Config

Reads:

  • memory/MEMORY.md "Tracked Token" section — the tracked token's contract/chain. If absent, exit silently.
  • memory/topics/price-alert-state.json — last-known ATH, last-alert timestamps per event type, target-crossing history. Created with defaults on first run.

Writes:

  • memory/topics/price-alert-state.json — updated state every run.
  • memory/logs/${today}.md — one log block per run, even on OK.
  • Notification via ./notify — only when a gate fires.

No new secrets. Uses keyless DexScreener; falls back to WebFetch when a public curl GET is flaky (there is no network sandbox).

State schema

json
{
  "contract": "0xbf8e8f0e8866a7052f948c16508644347c57aba3",
  "chain": "base",
  "ath": {
    "price_usd": 0.000003757,
    "observed_at": "2026-05-10T19:00:00Z",
    "announced_at": "2026-05-10T19:30:00Z"
  },
  "last_alerts": {
    "ath": "2026-05-10T19:30:00Z",
    "sharp_move": null,
    "target_hit": null
  },
  "targets": {
    "0.000005": {
      "side": "above",
      "first_seen_below_at": "2026-05-11T08:00:00Z",
      "hit_at": null,
      "announced_at": null
    }
  }
}

Key invariants:

  • ath.price_usd only ever monotonically increases. If a run sees a lower price than the stored ATH, leave the ATH alone.
  • last_alerts.* powers the 4h dedup window. Each gate has its own clock.
  • targets.${price}.side is above if current_price < target when the target was first observed (operator is waiting for the price to climb to it), and below otherwise. Set once, never flipped.
  • targets.${price}.hit_at is set the run the cross happens. announced_at is set the run the notification fires. They differ only if the run lands inside a dedup window — but target alerts never re-fire, so hit_at == announced_at in practice.

Steps

1. Parse var

  • If ${var} starts with set-target: → set FROM_REPLY=1, MODE=execute. Strip the set-target: prefix (${var#set-target:}); the remainder is the target(s) list, parsed exactly like the comma-split below. This is the shape scripts/telegram-route.sh sends when the operator replies to the step-7 force-reply prompt. The run proceeds normally (register the target, don't fire on first observation) and closes the loop with a confirmation in step 7.
  • Else if ${var} matches ^dry-run → MODE=dry-run. Strip the prefix; remainder (if any) is treated as targets.
  • Otherwise MODE=execute.
  • Split the remainder on , (commas) and strip whitespace.
  • For each token: if it parses as a positive float (scientific notation OK, e.g. 5e-6), include it. Reject zero / negative / non-numeric tokens and log PRICE_ALERT_BAD_TARGET: ${token} — continue with the surviving targets.
  • If after filtering the remainder was non-empty but yielded zero valid targets → log PRICE_ALERT_BAD_VAR: ${var} and exit. Normally no notify — but if FROM_REPLY=1, first close the loop with ./notify "Couldn't read \"${var#set-target:}\" as a price. Reply with a number like 0.000005." (a force-reply always deserves an acknowledgement).
  • If the remainder was empty, TARGETS=() is fine — ATH and sharp-move gates still run.

2. Resolve tracked token

bash
mkdir -p memory/topics
[ -f memory/topics/price-alert-state.json ] || cat > memory/topics/price-alert-state.json <<'EOF'
{"contract":null,"chain":null,"ath":null,"last_alerts":{"ath":null,"sharp_move":null,"target_hit":null},"targets":{}}
EOF

Parse the "Tracked Token" table in memory/MEMORY.md. Pull CONTRACT (column 2 of the first data row) and CHAIN (column 3, lowercased). If the section is missing, the table is empty, or the contract field doesn't match ^0x[0-9a-fA-F]{40}$ → log PRICE_ALERT_NO_TOKEN and exit (no notify, no state write).

If the state file's contract is set and differs from the resolved contract → log PRICE_ALERT_TOKEN_CHANGED and reset the state file to defaults with the new contract/chain. ATH starts over with the new token.

3. Fetch current price (DexScreener primary)

bash
RESP=$(curl -fsS "https://api.dexscreener.com/latest/dex/tokens/${CONTRACT}" 2>/dev/null || echo "")

If the response is empty, falsy, or jq can't parse it → fall back to WebFetch on the same URL with prompt "Return the raw JSON body verbatim." and try again. If both paths fail → log PRICE_ALERT_FETCH_FAIL and exit with status ERROR (no notify, no state mutation beyond touching last_run_at).

From the parsed JSON:

  • Filter .pairs[] to entries where .chainId == "${CHAIN}".
  • Of those, pick the entry with the highest .liquidity.usd — call this the deepest pool. If no pair matches the chain, fall back to the highest-liquidity pair across all chains and mark chain=fallback in the log.
  • Extract: CURRENT_PRICE=.priceUsd (float), H1_CHANGE_PCT=.priceChange.h1 (float, may be missing → treat as 0), H24_CHANGE_PCT=.priceChange.h24 (float, may be missing → treat as 0), POOL_URL=.url.

If CURRENT_PRICE is missing, zero, or non-numeric → log PRICE_ALERT_BAD_PRICE and exit ERROR.

4. Evaluate ATH gate

prior_ath = state.ath.price_usd  (null on first run)
new_ath   = (prior_ath is null) OR (CURRENT_PRICE > prior_ath)

If new_ath:

  • Always update state.ath.price_usd = CURRENT_PRICE, state.ath.observed_at = NOW.
  • Notify only if the last ath alert was >4h ago (or never). On the first run after token initialisation, suppress the notification (we don't know if this is genuinely an ATH or just the starting baseline) — set state.ath.announced_at = NOW so subsequent strict-higher prices alert correctly.
  • If suppressed because prior_ath is null (first run), record verdict ATH_BASELINE for the log; no notify.
  • Otherwise verdict for this gate is ATH.

5. Evaluate sharp-move gate

sharp = abs(H1_CHANGE_PCT) >= 20.0

If sharp:

  • If state.last_alerts.sharp_move is within the last 4h → verdict SHARP_MOVE_DEDUPED, no notify.
  • Otherwise verdict SHARP_MOVE, notify, set state.last_alerts.sharp_move = NOW.

Sign of H1_CHANGE_PCT decides the direction word in the message (up for ≥0, down for <0).

6. Evaluate target-crossing gate

For each target in TARGETS:

  • If the target isn't yet in state.targets: this is the first time the operator has set it. Record side (above if CURRENT_PRICE < target, else below), first_seen_below_at=NOW, hit_at=null, announced_at=null. Do not notify on first observation. This avoids "the price was already there when you set the target" noise.
  • If the target is in state.targets and hit_at is already set → skip; target-hit alerts are one-shot per side.
  • Otherwise check the cross:
    • side=above & CURRENT_PRICE >= target → crossed.
    • side=below & CURRENT_PRICE <= target → crossed.
  • On cross: set hit_at=NOW, announced_at=NOW, verdict TARGET_HIT for this target, notify (subject to 4h dedup on last_alerts.target_hit).

Targets that crossed in prior runs stay in the state file with hit_at set so they don't refire if the price wobbles back.

7. Combine verdicts and notify

Run-level verdict precedence (used for the log status line and the notification ordering):

  1. ATH — strict new high after baseline.
  2. TARGET_HIT — operator-set level crossed.
  3. SHARP_MOVE — ±20% in 1h.
  4. OK — no gate fired.

If multiple gates fired in the same run, send one notification per gate. Each gate independently respects its own dedup clock — an ATH and a TARGET_HIT in the same run produce two messages; an ATH and a SHARP_MOVE_DEDUPED produce one.

Notification templates

ATH:

*$TOKEN — New ATH — ${today}*

$TOKEN just printed a new all-time high at $X.XXXXe-N.
Previous ATH: $Y.YYYYe-N (set ${prior_ath_age} ago).
24h move: ±Z.Z% · 1h move: ±W.W%

Chart: ${POOL_URL}

SHARP_MOVE:

*$TOKEN — Sharp 1h Move — ${today}*

$TOKEN ${up|down} ${abs(h1):.1f}% in the last hour — now $X.XXXXe-N.
24h: ±Z.Z%
${one of: "Buyer wave — watch for follow-through." | "Selling pressure — watch the next hour for stabilisation." }

Chart: ${POOL_URL}

(Direction phrase is hard-coded by sign: positive = buyer wave; negative = selling pressure. No freelance commentary.)

TARGET_HIT:

*$TOKEN — Target Hit — ${today}*

$TOKEN just crossed $${target} (now $X.XXXXe-N).
Direction: ${above|below}
24h: ±Z.Z% · 1h: ±W.W%

Chart: ${POOL_URL}

If MODE == dry-run: build the messages, log the planned notifications, but skip ./notify. State still updates so dedup clocks advance correctly.

Cap each message at ~2500 chars; price-alert messages are short by nature and shouldn't approach this.

Send the alert

Build each firing gate's message to a file and send it with ./notify -f alert.md (one send per gate). State still advances even on a deduped run, so the dedup clocks stay correct.

Set-a-target follow-up (force-reply)

Buttons and force_reply can't share one message, so this is a separate send. After a genuine ATH alert (post-baseline, not a deduped repeat), and only when no un-hit operator target currently sits above CURRENT_PRICE (don't nag operators who already queued one), offer to capture the next level:

bash
./notify "New high — want an alert when $SYMBOL clears a level above this? Reply with a price." \
  --force-reply --placeholder "e.g. 0.000005" \
  --context "price-alert::set-target"

The reply routes back as var=set-target:<price> (handled in step 1). On that run, once the target is registered (step 6, first-observation — no cross alert), close the loop with a one-line confirmation: ./notify "Target set: \$<price> for $SYMBOL — I'll alert you when it crosses." (Send it only when a new target was actually registered this run.)

8. Persist state

Rewrite memory/topics/price-alert-state.json atomically:

bash
TMP=$(mktemp)
jq --arg ts "$(date -u +%FT%TZ)" '
  .last_run_at = $ts |
  .contract = $contract |
  .chain = $chain |
  .ath = $ath_obj |
  .last_alerts = $last_alerts_obj |
  .targets = $targets_obj
' memory/topics/price-alert-state.json > "$TMP"
mv "$TMP" memory/topics/price-alert-state.json

Validate with jq empty memory/topics/price-alert-state.json after writing; if it fails, restore from a .bak copy and log PRICE_ALERT_STATE_CORRUPT. Keep one .bak rolling.

Cap state.targets to 20 most-recent entries (LRU by first_seen_below_at) so a long-running fork doesn't accumulate stale operator targets.

9. Log

Append to memory/logs/${today}.md under a ### price-alert heading:

### price-alert
- **Skill**: price-alert
- **Token**: ${SYMBOL} (${CONTRACT})
- **Current**: $X.XXXXe-N | 1h: ±W.W% | 24h: ±Z.Z%
- **ATH**: $Y.YYYYe-N (set ${YYYY-MM-DD HH:MM} UTC) [${UNCHANGED|NEW}]
- **Sharp-move gate**: ${FIRED|QUIET|DEDUPED}
- **Targets evaluated**: ${comma-list of target prices} → ${comma-list of per-target verdicts}
- **Verdicts fired**: ${comma-list, or NONE}
- **Notifications sent**: ${N}
- **Status**: ${PRICE_ALERT_OK | PRICE_ALERT_ATH | PRICE_ALERT_SHARP_MOVE | PRICE_ALERT_TARGET_HIT | PRICE_ALERT_DRY_RUN | PRICE_ALERT_NO_TOKEN | PRICE_ALERT_TOKEN_CHANGED | PRICE_ALERT_FETCH_FAIL | PRICE_ALERT_BAD_PRICE | PRICE_ALERT_BAD_VAR | PRICE_ALERT_STATE_CORRUPT}

The status field carries the highest-priority gate fired this run, or the most relevant error. OK means the run completed cleanly and no gate fired.

Exit taxonomy

StatusMeaningNotify?
PRICE_ALERT_OKRun completed, no gate firedNo
PRICE_ALERT_ATHNew strict all-time high (post-baseline)Yes
PRICE_ALERT_SHARP_MOVE±20% in 1h, outside dedup windowYes
PRICE_ALERT_TARGET_HITOperator target crossed for the first timeYes
PRICE_ALERT_DRY_RUNvar=dry-run modeNo (state still updates)
PRICE_ALERT_NO_TOKENNo tracked token configured in MEMORY.mdNo
PRICE_ALERT_TOKEN_CHANGEDTracked contract changed since last run; state resetNo
PRICE_ALERT_FETCH_FAILBoth curl and WebFetch failedNo
PRICE_ALERT_BAD_PRICEAPI returned malformed/zero priceNo
PRICE_ALERT_BAD_VAR${var} had non-empty, non-dry-run text but yielded zero valid targetsNo
PRICE_ALERT_STATE_CORRUPTjq validation failed after write; restored from .bakNo

Network note

DexScreener is keyless and public — curl works; there is no network sandbox. If a public curl GET is flaky, the WebFetch fallback kicks in (built-in Claude tool, prompt: "Return the raw JSON body verbatim."). There's no auth header, and the URL doesn't change between runs. Notify goes through ./notify, which stages to .pending-notify/; the workflow re-delivers any messages that failed to send after the run — no extra script needed.

Constraints

  • One alert per event per 4h window. The state file's last_alerts.* map is the only authority on whether to suppress.
  • Target alerts are one-shot per side. Once hit_at is set, the target never re-fires — even if the price wobbles back through the level. Operators add new targets if they want continued signal.
  • No baseline alert. The first run after a fresh state file or token change must NOT send an ATH notification — the stored price is the baseline, not a "new high." Subsequent strict-higher prices alert.
  • No freelance interpretation. The sharp-move direction phrase is hard-coded by sign. Do not embellish with TA opinions ("looks like distribution", "could test support"). The verdict tells the operator what happened; the operator decides what it means.
  • Liquid-pool selection only. The deepest-liquidity pair on the configured chain wins. Don't compute prices from blended pool averages — the deepest pool's priceUsd is the canonical mark.
  • State writes are atomic + validated. Every state write goes through a tmpfile + jq empty validation step. Corrupt writes restore from .bak.
  • Read-only across memory/logs/. This skill never modifies past log files. It only appends to today's.
  • Targets are absolute USD, not percentages. This avoids ambiguity ("20% from where?"). If operators want move-from-now alerts they have the sharp-move gate.
  • Idempotent under same-minute reruns. Same-minute reruns with identical price input produce identical state and zero new notifications (every gate dedup-suppressed).

Frequently asked questions

What does the Price Alert AI skill do?

Fire when the tracked token does something - new ATH, sharp 1h move, or operator-set target crossed. Silent on normal days.

Why use Price Alert on TypingMind?

Because you install it once and use it with any model. Price Alert 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 Price Alert in TypingMind?

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

Which AI models can use Price Alert?

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 Price Alert?

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

Is the Price Alert 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 👇