Bug Hunt SwarmSAFE
My Codex Skills
Overview
My Codex Skills
3c36442853dcOBSERVED · 2026-10-21What it tells the agent
The instruction file, verbatim from the audited commit — this is the text the model reads, and the surface the audit's instruction layer examines. Quoted here so you can judge it without cloning anything.
--- name: bug-hunt-swarm description: "Parallel read-only multi-agent root-cause investigation for bugs, regressions, crashes, flaky behavior, or unexplained failures. Use when the user asks to investigate a bug, find the root cause, trace a regression, understand why something broke, or wants a ranked diagnosis with the fastest proof path without making code edits." --- # Bug Hunt Swarm Investigate a bug with four read-only sub-agents in parallel, then have the main agent rank the likely causes and recommend the fastest path to prove or fix the issue. This skill is diagnosis-first: do not edit files or implement fixes as part of this workflow. ## Step 1: Build the Bug Packet Start by collecting the smallest useful investigation packet: 1. Symptom 2. Expected behavior 3. Actual behavior 4. Reproduction steps, if known 5. Scope of impact 6. Relevant evidence, such as logs, stack traces, failing tests, screenshots, recent diffs, or environment details Prefer this source order: 1. Direct user description 2. Explicit files, stack traces, logs, tests, or screenshots provided by the user 3. Current git changes or recent repo history when the bug appears regression-like 4. The smallest relevant code path or subsystem surrounding the failure If the bug report is underspecified, infer a minimal problem statement and say what is still unknown. Before launching sub-agents, read the closest project instructions and relevant docs for the touched area, such as: - `AGENTS.md` - repo workflow docs - architecture, state, routing, schema, or runtime docs for the affected subsystem ## Step 2: Bound the Investigation Write a short investigation brief for the swarm: 1. What appears broken 2. What is not yet proven 3. What part of the system is most likely involved 4. What evidence already exists 5. What kind of proof would count as confirmation Use read-only evidence gathering where useful: - `rg`, `git diff`, `git log`, `git show` - reading logs, crash traces, and config - existing test runs or the smallest safe reproduction command Do not edit files, inject new instrumentation, or implement fixes as part of this skill. ## Step 3: Launch Four Read-Only Investigators in Parallel Launch four sub-agents when the problem is large or ambiguous enough that parallel investigation helps. For a tiny and obvious issue, it is acceptable to investigate locally instead. For every sub-agent: - give the same bug packet and investigation brief - state that the sub-agent is read-only - do not let the sub-agent edit files, run `apply_patch`, stage changes, commit, or perform any other state-mutating action - ask for concise investigation output only - ask for: hypothesis, supporting evidence, missing evidence, smallest proof step, and confidence - tell the sub-agent to avoid generic code quality feedback, nits, or speculative guesses without evidence - tell the sub-agent to send findings back to the main agent only Use these four investigation roles. ### Sub-Agent 1: Reproduction and Scope Investigation Clarify the exact failure shape and its boundaries. Check for: 1. The narrowest reliable trigger 2. Conditions that make the bug appear or disappear 3. Expected versus actual behavior at the failure boundary 4. Whether the impact is local, cross-cutting, deterministic, or flaky This sub-agent is read-only. It must not edit files, apply patches, or make any other workspace changes. Recommended sub-agent role: `reviewer` ### Sub-Agent 2: Code Path and Failure Seam Investigation Trace the most likely execution path and identify the seam where behavior diverges. Check for: 1. State transitions, lifecycle edges, or ordering problems 2. Mismatched assumptions between caller and callee 3. Data-flow or control-flow breaks 4. The smallest code region most likely responsible for the failure This sub-agent is read-only. It must not edit files, apply patches, or make any other workspace changes. Recommended sub-agent role: `explorer` for broad tracing, or `reviewer` when a stronger local reasoning pass is more useful ### Sub-Agent 3: Recent Change and Regression Investigation Look for likely regressors in nearby history or changed contracts. Check for: 1. Recent diffs that correlate with the symptom 2. Config, flag, dependency, schema, or migration drift 3. Partial updates where several entry points should have changed together 4. Behavior changes that fit the timing of the bug report This sub-agent is read-only. It must not edit files, apply patches, or make any other workspace changes. Recommended sub-agent role: `reviewer` ### Sub-Agent 4: Proof Plan and Observability Investigation Determine the fastest way to confirm or reject the leading hypotheses. Check for: 1. The smallest existing test or reproduction that should fail 2. The most useful current logs, traces, metrics, or assertions 3. A minimal non-mutating command that could raise confidence quickly 4. What evidence is missing and how to collect it without broad churn This sub-agent is read-only. It must not edit files, apply patches, or make any other workspace changes. Recommended sub-agent role: `reviewer` Report only hypotheses that materially improve the odds of finding the real cause. It is better to return two evidence-backed theories than six vague guesses. ## Step 4: Synthesize Ranked Hypotheses The main agent owns synthesis. Treat sub-agent output as raw investigation input, not final output. Merge and rank the hypotheses: - combine duplicates - discard weak speculation - prefer evidence over elegance - separate likely root causes from mere contributing factors - keep alternate theories only when they remain plausible Normalize the surviving hypotheses into this shape: 1. Hypothesis 2. Supporting evidence 3. Missing or conflicting evidence 4. Smallest proof step 5. Confidence: high, medium, or low If the evidence is too weak for a real ranking, say so directly and present the leading open questions instead. ## Step
Trust audit
SAFEgrade B · trust 89/100 Nothing in the source contradicts what it says it does. Grade A is reserved for packages that have also passed the behavioural sandbox.
| Layer | What it checks | Result |
|---|---|---|
| L0 | Provenance & inventory | PASS |
| L1 | Static analysis of the code | NA |
| L2 | Instruction surface (what it tells the agent) | PASS |
| L3 | Class-specific surface | PASS |
| L4 | Behavioural (sandbox) | SKIPPED |
What the source does
- Filesystem
- none-observed
- Network
- none-observed
- Shell
- none-observed
- Dependencies
- pinned
- Secrets in source
- none-found
Findings (0)
No findings outside the package's declared scope.
Gates applied: no_behavioural_pass.
3c36442853dcfull audit observations/trust-audit/skill/dimillian__bug-hunt-swarm.json · Report an issue / request a re-scanAudit history
Every audit this skill has had.
| Date | Source | Verdict | Grade | Score | Change |
|---|---|---|---|---|---|
| 2026-10-21 | 3c36442853dc | SAFE | B | 89 | first audit |
Questions
What does the bug-hunt-swarm — dimillian/skills skill do?
My Codex Skills
Is bug-hunt-swarm — dimillian/skills safe to install?
The audit found nothing in the source that contradicts what it says it does, and graded it B (89/100). Grade A is held back for packages that have also passed a sandboxed behavioural run, which is why a clean skill reads B.
What can bug-hunt-swarm — dimillian/skills access on my machine?
The audit observed no filesystem, network or shell use at all in its source.
How current is this page?
The grade is for one exact copy of the source (3c36442853dc), read on 2026-10-21. The repository is watched, and a new audit runs when it changes — this is the first audit.
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