Bug Hunt
SkillDev toolsReproduce, isolate, patch, and verify defects with explicit expected-versus-observed behavior.
Use Bug Hunt in Claude, ChatGPT or Ahel Desktop
Free. Sign in, add Bug Hunt and connect your AI. About a minute.
Also: Claude Code · Cursor · Codex
Then ask your AI: use the Bug Hunt skill
Details
Instructions available. Your AI can read the instructions. Execution depends on the setup they require.
Account requirements not reviewed. Check the skill instructions before use; Ahel provides instructions and does not run this skill.
No other account needed.
Add Ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.
What this skill tells your AI
The instructions your AI receives, as published by hoavdc/codexkit in skills/codexkit-bug-hunt/SKILL.md and read by Ahel’s review.
Use this skill when a report says something is broken and you need disciplined debugging rather than guesswork.
Workflow
- Capture exact observed behavior and expected behavior.
- Reproduce with the cheapest reliable path.
- Narrow the failure boundary before editing code.
- Patch the smallest credible cause.
- Verify the original failure and nearby regressions.
Required outputs
- reproduction path
- root-cause hypothesis
- patch summary
- verification notes
Avoid
- fixing symptoms without a reproduction
- stacking unrelated cleanup into the bug fix
- claiming a root cause without evidence
Quality Criteria
- Every finding is tied to a specific evidence source (log, test, metric)
- Pass/fail criteria are binary and measurable — no subjective judgments
- Severity levels are assigned with clear thresholds
- Remediation steps are provided for all critical and high findings
Verification (4C)
| Check | Question |
|---|---|
| Correctness | Are all pass/fail criteria applied against the correct standard or rule? |
| Completeness | Were all required dimensions or checklist items evaluated? |
| Context-fit | Does the verification scope match the actual risk level of the deliverable? |
| Consequence | If this passed verification but had a hidden flaw, what is the worst-case impact? |
Edge Cases
- Incomplete data for full assessment — Document which checks were limited and flag for re-verification when data becomes available.
- Ambiguous pass/fail criteria — Request clarification from the standard owner before scoring. Mark as 'Needs Review'.
- Multiple overlapping standards — Identify the governing standard and note where others diverge.
Changelog
- v1.0.0 — Initial release
Signals
- GitHub stars
- 25
- Forks
- 13
- Last commit
- Oct 2026
Advanced
- Item type
- skill
- Key
codexkit-bug-hunt- Source
- github.com/hoavdc/codexkit