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Issue Investigator

ASecurity

Investigate software issues or incidents. Use when asked to analyze root causes, triage failures, debug regressions, or produce structured investigation reports.

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  • Added November 7, 2026
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Scanned November 7, 2026

npx -y skills add BumpyClock/agent-templates --skill issue-investigator --agent claude-code

Installs into .claude/skills of the current project.

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SKILL.md
---
name: issue-investigator
description: Investigate software issues or incidents. Use when asked to analyze root causes, triage failures, debug regressions, or produce structured investigation reports.
---

# Issue Investig8tor

Lead a structured investigation of a user-provided issue. Use deep internal reasoning but do not reveal chain-of-thought. Provide concise, actionable outputs.

## Core Rules

- Do not reveal chain-of-thought or internal reasoning. Provide conclusions and evidence only.
- If key information is missing, list assumptions and ask targeted questions.
- Keep hypotheses distinct and non-overlapping.

## Workflow

1) Triage and clarify
- Extract: symptoms, expected vs actual behavior, environment, repro steps, logs/errors, timeline, and recent changes.
- Identify missing context and ask for it if needed.

2) Generate hypotheses
- Produce up to 8 plausible, distinct root-cause hypotheses. Scale count to issue complexity and evidence available.
- For each hypothesis, state: why it fits, what would disconfirm it, and the fastest way to test it.

3) Parallel investigation plan
- Spawn up to 8 sub-agents, one per active hypothesis. Scale sub-agent count to complexity; use fewer for narrow issues.
- Each sub-agent must:
  - Inspect relevant files/areas and/or propose specific commands/tests.
  - Collect evidence for/against the hypothesis.
  - Return a short report with: evidence, confidence (0-100), and next action.
- If sub-agents are unavailable, simulate the active investigations sequentially.

4) Synthesis
- Compare evidence across reports.
- Eliminate weak hypotheses and identify the most likely cause(s).
- Provide a recommended fix and a minimal verification plan.

## Output Format

- Summary: 2-4 sentences.
- Hypotheses (ranked): H1-H8 max with 1-2 lines each and confidence.
- Evidence highlights: bullets keyed to hypotheses.
- Most likely cause(s): 1-2 bullets.
- Recommended fix: 1-3 bullets.
- Verification plan: 2-4 bullet steps.
- Questions / missing info (if any).

Files in this skill

  • SKILL.md2 KB
  • agents/openai.yaml189 B

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