Hunter 22 logo

Hunter 22

Organization
aeonfun
hunter-22

Scan the ClawHunter agent bounty marketplace for opportunities that genuinely match this agent's real capabilities (code, security research, writing) and surface only real matches — never a raw unfiltered dump. When a match is real audit-shaped work with a linked GitHub repo, the notification carries a one-tap button to dispatch vuln-scanner at it directly.

Overview

Publisheraeonfun
Repositoryaeon
Skill namehunter-22
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 Hunter 22 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/hunter-22
  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/hunter-22 .claude/skills/hunter-22
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Hunter 22 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 Hunter 22 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 Hunter 22 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 filter. Empty → default capability match (see below). types:<a,b> → restrict to bounty types (e.g. types:code,research). min:<usd> → minimum reward floor.

Today is ${today}.

What this is

ClawHunter is a paid API that indexes crypto/social bounty venues and ranks opportunities. This skill calls its free discovery tier only — no API key, no wallet, no payment. Read docs/ClawHunter-API.md in this repo for the endpoint reference (base URL, auth, rate limits).

This is discovery only for anything requiring human judgment or funds — it never claims, submits, or executes a bounty, and never touches a wallet. It surfaces candidates for the operator to act on manually, with one exception: when a match is real audit-shaped work (code/security, with a linked GitHub repo), the notification carries a button that dispatches vuln-scanner at that repo — the operator still taps to trigger it, this skill never dispatches on its own. Do not call any $ (paid, x402) endpoint in this skill; those require a funded wallet this fork does not have configured.

What to do

  1. Read memory/topics/hunter-22-seen.json if it exists (dedup log — bounty IDs already surfaced, with the timestamp last seen). Create it empty ([]) if missing.
  2. Call POST https://clawhunter.fun/api/v1/match with this agent's real, demonstrated capabilities, then pipe its response directly through the mandatory expiration gate before reading or triaging it:
    bash
    curl -fsS -X POST https://clawhunter.fun/api/v1/match \
      -H 'content-type: application/json' \
      --data '{"capabilities":["code","security-research","research","writing","dependency-analysis"],"canDoRealWorld":false,"minReward":20,"limit":25}' \
      | node scripts/hunter-22-filter.mjs
    Run that command as written when ${var} is empty. When ${var} sets types:<a,b>, add "types":["a","b"] to the --data body before running it (types filters the bounty types field). When it sets min:<usd>, set minReward to that number before running it. Apply both edits when both are set. Do not save, inspect, or triage the raw response. If the gate exits non-zero, treat the API as unavailable and stop. The gate removes expired and malformed deadlines deterministically. Its gate.seen list retains minimal dedup fields for all input candidates, including rejected ones. Use these real capabilities, not aspirational ones:
    json
    {
      "capabilities": ["code", "security-research", "research", "writing", "dependency-analysis"],
      "canDoRealWorld": false,
      "minReward": 20,
      "limit": 25
    }
    canDoRealWorld: false — this agent has no wallet/payment rails configured, so exclude bounties requiring on-chain execution or payment. Do NOT set canDoRealWorld: true unless a wallet has actually been funded and documented in memory/topics/ — check first.
  3. Triage the gate output the same way as any other discovery skill - be honest, not generous:
    • Drop anything that's really a content/social-growth task in disguise (tweet threads, engagement farming, influencer voice-cloning, "get a streamer/creator to post X" outreach). A requires array that's only engage/outreach/video/image with no code/onchain is the tell — this agent has no content-generation or social-outreach tooling wired up and can't credibly deliver those.
    • Keep bounties that map to real work: code fixes, dependency/security review, technical writing, structured research with citable sources — the kind of work already demonstrated in output/articles/vuln-scan-*.md.
    • For each kept candidate, sanity-check the reward is real (not vaporware) and that a remaining deadline is reachable.
  4. Flag audit-shaped candidates. For each candidate that survives step 3, check whether it's actually a code-security audit: requires includes code or onchain, and the bounty's body/url contains a GitHub repo link (github\.com/[\w.-]+/[\w.-]+). If both hold, extract owner/repo - this is exactly the Veilo-bounty shape (a Superteam listing naming a specific on-chain program's source repo). Not every kept candidate will have one; most won't.
  5. Diff against memory/topics/hunter-22-seen.json - only report bounties not already seen in the last 14 days.
  6. Update memory/topics/hunter-22-seen.json: append {id, title, reward, seen_at} from every entry in gate.seen, so candidates rejected by the hard gate still enter the dedup window. Prune entries older than 30 days.
  7. If there are new, genuinely-good matches: ./notify with a short, decision-grade list - title, reward, venue, one-line why-it-matches, link. Lead with the count and the best one. For any match flagged audit-shaped in step 4, add an inline button so the operator can dispatch the audit in one tap:
    bash
    ./notify -f /tmp/hunter22-notify.md --buttons '[[
      {"text":"Audit owner/repo","callback_data":"run:vuln-scanner:owner/repo"},
      {"text":"Open bounty","url":"<bounty url>"}
    ]]'
    callback_data has a hard 64-byte limit (see docs/telegram-commands.md) — run:vuln-scanner:owner/repo fits comfortably for any realistic repo path. If more than one candidate this run is audit-shaped, send one notify per candidate (each with its own button row) rather than merging them, so a tap is unambiguous about which repo it targets. If nothing new or nothing real survived triage, do not notify (see CLAUDE.md: "notify only on signal").
  8. Commit memory/topics/hunter-22-seen.json with an updated timestamp:.

Guardrails

  • Never call a paid ($) endpoint. Never touch /tools/*, /chat/completions, or anything billed via x402 in this skill.
  • Never claim or submit a bounty on the operator's behalf - this skill only surfaces candidates, and the audit-dispatch button in step 7 still requires a human tap, not an automatic trigger.
  • If the API is unreachable or rate-limited, log it and exit quietly — do not retry aggressively (60/min per IP is the documented ceiling; this runs once daily, nowhere close).

Frequently asked questions

What does the Hunter 22 AI skill do?

Scan the ClawHunter agent bounty marketplace for opportunities that genuinely match this agent's real capabilities (code, security research, writing) and surface only real matches — never a raw unfiltered dump. When a match is real audit-shaped work with a linked GitHub repo, the notification carries a one-tap button to dispatch vuln-scanner at it directly.

Why use Hunter 22 on TypingMind?

Because you install it once and use it with any model. Hunter 22 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 Hunter 22 in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/aeonfun/aeon/tree/main/skills/hunter-22. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Hunter 22?

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 Hunter 22?

As many as you like. As long as a model supports skills, you can use Hunter 22 with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Hunter 22 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.

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