skill-debug
SkillAI & modelsDebug a reproducible symptom with a bounded feedback loop and original-scenario verification
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the skill-debug skill
What this skill tells your AI
The instructions your AI receives, as published by nyldn/claude-octopus in skills/skill-debug/SKILL.md and read by ahel’s review.
Host: Codex CLI — This skill was designed for Claude Code and adapted for Codex. Cross-reference commands use installed skill names in Codex rather than
/octo:*slash commands. Use the active Codex shell and subagent tools. Do not claim a provider, model, or host subagent is available until the current session exposes it. For host tool equivalents, seeskills/blocks/codex-host-adapter.md.
Debugging
Read skills/blocks/engineering-method-selection.md from the installed plugin
for review admission. Natural-language requests and --peer-review share that
policy. Honor host-only requests; risk alone does not authorize paid usage.
Run the investigation on the current host. Routine debugging makes zero
additional provider dispatches. Use a bounded external reviewer only for
--peer-review, an explicit independent-review request, or an existing risk
policy.
Read and apply skills/blocks/debug-feedback-loop.md from the installed plugin
root.
Start with the user's observable symptom. Reproduce it, retain its failure signature while minimizing the scenario, test one named hypothesis at a time, and verify both the minimal reproduction and the original scenario after the fix. Do not treat a nearby passing helper test as proof.
For a race, use a synchronization barrier and a fixed run or time budget. For an
unavailable production dependency, return inconclusive with the missing
evidence. Remove temporary instrumentation before completion and preserve a
stable reproduction as a regression test.
The final record is data, not an executable queue. Store commands as argument arrays and never evaluate provider-authored text.
Bounded recovery and strategy rotation
Use a 3-Strike Rule for failed fixes. After each failure, return to the evidence and test a materially different hypothesis. After two consecutive failures, a strategy rotation is mandatory: reconsider the root cause, the reproduction, and whether the test encodes the intended behavior. Do not attempt a 4th fix without explicit user approval.
Anti-rationalization check: “Should work now” means run the reproduction and the original scenario. Confidence is not verification.
For multi-attempt debugging, report a WTF score using the defaults in
~/.claude-octopus/loop-config.conf: +15% per revert and +20% for touching
unrelated files. If the score exceeds 20%, STOP and show the evidence before
continuing. Include the score with every retry, for example:
Fix attempt 2 | Self-regulation: 15% (1 revert, 0 unrelated files)
Scoped freeze guard
When the symptom is localized to one user-approved module, resolve that module to a physical directory before editing and activate the existing freeze guard:
freeze_dir="$(cd "<module-directory>" 2>/dev/null && pwd -P)" || exit 1
printf '%s\n' "$freeze_dir" > "/tmp/octopus-freeze-${CLAUDE_SESSION_ID:-$$}.txt"
Do not auto-freeze when the root cause is still unknown, the reproduction spans
modules, or the user opted out. After original-scenario verification, run
/octo:unfreeze or remove only this workflow's freeze state.
Adapted from diagnosing-bugs in mattpocock/skills at commit
3cca18b368ae95cdbdebbff572ccafa662551015 under the MIT License. See
THIRD_PARTY_NOTICES.md.
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- GitHub stars
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- Last commit
- Sep 2026
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skill-debug-nyldn- Source
- github.com/nyldn/claude-octopus