agentleFS
MiroSharkMiroShark/miroshark-aeon/skills/hunter-22/SKILL.md

hunter-22

Skill20 starsChanged 23 days agoMITView on GitHub

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.

  • Sends data out

3 other projects use a version of this.

Adopted by

Most recently taken up by

The file

We split this skill into the rules it gives an agent

9 rules. About 0 are common, 3 are distinctive, and 6 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈3

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 6

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Very specific:

    Read memory/topics/hunter-22-seen.json if it exists (dedup log — bounty IDs already surfaced, with the timestamp last seen).

    line 25
  2. Very specific:

    Call POST https://clawhunter.fun/api/v1/match with this agent's real, demonstrated capabilities, then pipe its response directly through …

    line 26
  3. Very specific:

    Keep bounties that map to real work: code fixes, dependency/security review, technical writing, structured research with citable sources — …

    line 46
  4. Very specific:

    Update memory/topics/hunter-22-seen.json: append {id, title, reward, seen_at} from every entry in gate.seen, so candidates rejected by the …

    line 50
  5. Distinctive:

    If nothing new or nothing real survived triage, do not notify (see CLAUDE.md: "notify only on signal").

    line 59
  6. Very specific:

    Commit memory/topics/hunter-22-seen.json with an updated timestamp:.

    line 60
  7. Very specific:

    Never call a paid ($) endpoint.

    line 64
  8. Distinctive:

    Never claim or submit a bounty on the operator's behalf - this skill only surfaces candidates, and the audit-dispatch button in step 7 …

    line 65
  9. Distinctive:

    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.

    line 66

≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

${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:
    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:
    {
      "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:
    ./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).

Download now (ZIP)

Does it work?

Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.

No reviews yet

People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.

  • It worked
  • Partly
  • It didn't
What did you use it for? e.g. Reviewing pull requests in a Rails app

Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.

Your trail

Files you open will collect here, so you can find them again.

Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

Now do this for your own.

Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.