audit-swarm
Fan out 4–5 role-specialised audit agents (regression / security / performance / coverage / style) over a code change, then merge findings with a…
Skill by Lesile-Yin
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Install
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.
npx agentmarket install skill/lesile-yin-audit-swarm
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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About
Use cases: testing, security
Reviews
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Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/audit-swarm
What's inside
- Skill name
audit-swarm- Description
- Fan out 4–5 role-specialised audit agents (regression / security / performance / coverage / style) over a code change, then merge findings with a noise-filtered severity model. Use as a wider-net alternative to a single review pass, or as a complement to prism-review when a change needs breadth.
- License
- MIT
- Instructions
- 46 lines in SKILL.md · view on GitHub
Files (2)
- SKILL.md
- lanes.md · references/
SKILL.md (first lines)
# Audit Swarm
One reviewer sees one lens. audit-swarm sees many at once by spawning a small
swarm, each constrained to its lane, then merging without duplicating noise.
## When to use
- After a non-trivial change, before merge.
- When prism-review's four lenses need more coverage (e.g. a dedicated coverage
or style lane).
- When a single model's review keeps missing a category of defect.
## Workflow
### Step 1 — Scope the swarm
Given the diff + intent brief, pick 4–5 lanes. Default set: regression,
security, performance, coverage, style. Drop a lane if the change can't touch
it; add one if the domain demands (e.g. i18n, accessibility).
### Step 2 — Dispatch with contracts
Each agent gets: the diff, the brief, and *exactly one* lane checklist (see
`references/lanes.md`, adapted from prism-review's lens model). Agents report
findings **only** in their lane; cross-lane observations go to merge as "notes".
### Step 3 — Merge with a noise filter
Dedupe by `file:line`. Collapse "looks fine" noise. Rank survivors by severity
(critical / major / minor / nit). A finding is *critical* only if it can cause
data loss, a security break, or a regression in shipped behavior.
### Step 4 — Emit the merged report
Table form: `file:line · lane · severity · one-line finding · suggested fix`.
Flag escalations (critical/major) for human review; nits may be auto-batched.
## Anti-patterns (never do these)
- Overlapping lanes — two agents auditing the same thing just doubles noise.
- Agents without a contract — they drift into generic "looks okay" spam.
- Running a swarm on a one-line typo diff — cost exceeds value.
- Severity inflation — not everything is "critical".
## Output contract
Return a merged findings table + an escalation list + a one-line coverage note
("N lanes, M findings, K critical"). No swarm runs without a diff and a brief.From Lesile-Yin/agent-skills, MIT.
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Signals
- Stars
- 2
- Forks
- 0
- Open issues
- 0
- Last commit (this folder)
- Aug 26, 2026 (2 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/Lesile-Yin/agent-skills
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Rahil Jain, Co-founder, Chalk Labs. Ex-Goldman Sachs engineer. You talk to the person who builds it.
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Cite this page
audit-swarm skill. Agent Mart. https://agentmart.dev/skills/lesile-yin-audit-swarm (last updated 2026-10-24)