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bug-hunter

Find evidence-backed correctness bugs by tracing failing tests, crash reports, suspicious control flow, unsafe edge-case handling, regressions, decode…

Skill by ravisingh11

IndexedMIT★ 5
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Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

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About

Find evidence-backed correctness bugs by tracing failing tests, crash reports, suspicious control flow, unsafe edge-case handling, regressions, decode mismatches, and broken user flows. Use when a user asks to find bugs, investigate regressions, review a changed area for defects, or as part of $full-test-suite.

Use cases: testing

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What this skill can do and what it asks for, from its SKILL.md and code. Checked Oct 25, 2026.

Tools
No tools found
Secrets
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Install scripts
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Network hosts it talks to 1

  • codeload.github.com · found in install command

Files it touches

  • ~/.claude/skills/bug-hunter

What's inside

Skill name
bug-hunter
Description
Find evidence-backed correctness bugs by tracing failing tests, crash reports, suspicious control flow, unsafe edge-case handling, regressions, decode mismatches, and broken user flows. Use when a user asks to find bugs, investigate regressions, review a changed area for defects, or as part of $full-test-suite.
License
MIT
Instructions
34 lines in SKILL.md · view on GitHub

Files (2)

  • SKILL.md
  • openai.yaml · agents/

SKILL.md (first lines)

# Bug Hunter

Hunt for real, verifiable correctness bugs and fix candidates. Stay repo-grounded and evidence-first.

## Workflow

1. Identify the target surface from changed files, failing tests, logs, traces, or user-reported flows.
2. Inspect control flow, validation, serialization, concurrency, lifecycle handling, error paths, and state transitions.
3. Prefer a minimal repro, targeted test, or strong static proof before promoting a finding.
4. Log confirmed findings in `project-audit-findings.md`.
5. If fixing is in scope, fix one confirmed bug at a time and record verification evidence.

## Common Targets

- off-by-one or nil-path bugs
- state desynchronization and persistence errors
- decode or schema mismatches
- stale caches and partial update bugs
- race conditions, retry loops, cancellation, or lifecycle misuse
- regression risks from refactors or fallback logic

## Rules

- Do not create findings for speculative smells.
- Prefer tests or reproductions over broad assertions.
- Keep fix diffs small and reversible.

## References

- Finding format: `../_shared-project-ops/references/finding-format.md`
- Verification template: `../_shared-project-ops/references/verification-template.md`
- Rerun policy: `../_shared-project-ops/references/rerun-policy.md`

From ravisingh11/ai-software-toolkit, MIT.

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Signals

Stars
5
Forks
10
Open issues
0
Last commit (this folder)
Aug 27, 2026 (2 months ago)
Last release
Oct 23, 2026 (11 days ago)

From GitHub (fetched Oct 24, 2026).

Details

License
MIT
Repository
github.com/ravisingh11/ai-software-toolkit
Website
ravisingh11.github.io/ai-software-toolkit/
First seen
Oct 24, 2026
Last checked
Oct 24, 2026
Source
GitHubgithub-graphql

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bug-hunter skill. Agent Mart. https://agentmart.dev/skills/ravisingh11-bug-hunter (last updated 2026-10-24)