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Bounty program finder

Skill Metincloup/bounty-program-finder/skills/bounty-program-finder

Find, filter, rank, and explain bug bounty programs and in-scope GitHub repositories. Use for bounty discovery, scope triage, payout/response metrics, and audit handoff.From its SKILL.md

Install
npx -y skills add Metincloup/bounty-program-finder --skill bounty-program-finder

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SKILL.md

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Bounty Program Finder

Overview

Use this skill to help a security researcher select bug bounty programs before a separate audit workflow begins. It produces candidate programs, scope evidence, GitHub repository matches, payout and response signals, safety warnings, and a structured handoff for an audit prompt.

This skill is discovery-only. Do not scan, fuzz, exploit, clone repositories, run target code, or submit reports as part of this workflow.

Workflow

  1. Clarify the discovery intent only when needed: target platforms, bounty type, GitHub requirement, languages, payout expectations, popularity, response speed, or private-program inclusion.
  2. Convert the user's natural-language request into the filter schema in references/filter-schema.md.
  3. Run the bundled CLI when local execution is useful:
python skills/bounty-program-finder/scripts/bounty_program_finder.py \
  --query "List popular in-scope bounty programs with open-source GitHub repositories" \
  --profile auto \
  --limit 10 \
  --format both
  1. Use --filters-json when exact repeatability is needed; explicit JSON filters override inferred query filters.
  2. Review the result warnings before presenting any target as suitable. Treat seed-only matches as candidates until official scope evidence is checked.
  3. Return rich Markdown plus the JSON block described in references/output-contract.md.
  4. Include the generic audit handoff from references/master-prompt-handoff.md when the user may continue into a separate audit prompt.

Reference Routing

  • Read references/filter-schema.md when translating user requests into filters.
  • Read references/source-policy.md before deciding whether data is verified, seed-only, derived, private, or stale.
  • Read references/platform-notes.md when explaining platform-specific capabilities or missing fields.
  • Read references/output-contract.md before changing the result shape.
  • Read references/safety-and-scope.md whenever a result includes repositories, scope, exclusions, or testing suggestions.
  • Read references/master-prompt-handoff.md when producing next-step handoff fields for a separate audit workflow.

CLI Defaults

  • Default limit: 10 rich records.
  • Default profile flag: auto; it resolves to balanced unless the query implies a specialized profile.
  • Default cache: .cache/bounty-program-finder.
  • Default source flow: seed data first, then official or public enrichment when available.
  • Credentials are optional and must come from environment variables only.
  • User-facing prose should follow the user's language; JSON field names stay English.

Safety Rules

  • Never mark a repository or asset as authorized unless official scope evidence supports it.
  • Preserve out-of-scope targets and exclusions close to the relevant candidate.
  • Label inferred GitHub repositories as candidates unless they are explicitly present in official scope or have verified official linkage.
  • Provide clone/build commands only as recommendations for the user's next step; do not run them.
  • Never store or reveal API tokens, private prompt text, .env content, cache dumps, or private program details beyond the user's requested output.

What ships with it: 8 files

55.4 KB alongside SKILL.md, 1 of them executable

agents/

scripts/

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