plugin-audit

plugin-audit is a skill for Claude Code from bdfinst/agentic-dev-team. It costs 93 tokens per session (1,824 once invoked), scanned A, original, MIT.

A structural checker for Claude Code plugins. It checks whether agents and skills have the expected file structure, metadata, test coverage, and size limits.

In plain words
What is it for?
Use it after adding or changing plugin agents or skills to check their type, required fields, evaluation coverage, and body length.
Why use it?
It catches format and architecture problems early without trying to judge whether the plugin's detection logic is correct.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter. Also seen: mentions subagents; mentions Claude Code.

Runs only inside its plugin — its command needs a path that Claude Code sets for a plugin’s own hooks and for nothing else. Install the plugin, not this.

Part of the marketplace-dev plugin — 10 skills, 1 agent shipped together

Good fit Use it after adding or changing plugin agents or skills to check their type, required fields, evaluation coverage, and body length.

Compare 6 skills from other repositories ↓
Install

Getting it into your agent

This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.

Claude Code
/plugin marketplace add bdfinst/agentic-dev-team
Claude Code
/plugin install marketplace-dev

Made for: Claude Code.

Or install marketplace-dev, the plugin that ships this one along with the rest of its 10 skills, 1 agent.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for plugin-audit

README.md
[![agentmods](https://agentmods.dev/badge/skills/bdfinst/agentic-dev-team/plugin-audit.svg)](https://agentmods.dev/skills/bdfinst/agentic-dev-team/plugin-audit)
Your own site
<a href="https://agentmods.dev/skills/bdfinst/agentic-dev-team/plugin-audit"><img src="https://agentmods.dev/badge/skills/bdfinst/agentic-dev-team/plugin-audit.svg" alt="Measured on agentmods" height="20"></a>
Per session 93 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,824 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00093 $0.01824
Opus 5 $0.00046 $0.00912
Sonnet 5 $0.00019 $0.00365
Haiku 4.5 $0.00009 $0.00182

Measured 2d ago against content hash a0972a030c84, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

plugin-audit scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

plugins/marketplace-dev/skills/plugin-audit/SKILL.md · 152 lines

How it starts

The opening of the file, as written. The whole thing — 152 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Plugin Audit

Role: orchestrator. Mechanical, deterministic structural compliance — pattern matching against the plugin contract. This is the generalized successor to dev-team's internal agent-audit, scoped to architectural decisions only.

Scope boundary

In scope (this skill) Out of scope
Agent type appropriateness (markdown vs script) Detection-logic quality (→ the plugin's own agent-eval)
Frontmatter compliance Shipping hygiene / ${CLAUDE_PLUGIN_ROOT} ref resolution
Eval coverage presence Shell portability (bash 3.2 / BSD / Git Bash)
Body line-count budgets Catalog/version sync (→ release-please config)

Architecture only. Do not evaluate whether a detector is good — only whether the unit is the right type, well-formed, covered, and within budget.

Orchestrator constraints

  1. Check structure, not semantics. Verify fields/sections/patterns exist and the type matches the job. Never grade detection rules.
  2. Deterministic checks only. Every check is reproducible — does the field exist? Is the format correct? Is the body within budget?
  3. Generalized. Resolve every path from the target plugin dir. Never assume plugins/dev-team, an agent-registry.md, or a .claude/docs/eval-system.md.
  4. --fix applies minimal structural fixes (insert missing sections/fields from templates). Never rewrite existing content.
  5. Be concise. Output the report table and action items only.

Step 1 — Resolve target plugin

Parse $ARGUMENTS:

  • A directory path → audit that plugin.
  • No path → if exactly one plugins/*/ exists, use it; if several, list them and ask which to audit; if the cwd is itself a plugin dir (.claude-plugin/plugin.json present), use it.
  • --fix → after the report, apply fixes for FAIL/WARN items.

Let PLUGIN = the resolved dir, NAME = its .claude-plugin/plugin.json name. Eval fixtures are expected at the repo-root sibling evals/<NAME>/ (never shipped inside PLUGIN); accept evals/<NAME>/fixtures/ or flat evals/<NAME>/ layouts.

Read the full file on GitHub · 152 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 2d ago First seen · 152 lines · 93 tokens per session scan A a0972a030c84

Subscribe to this mod's changes

plugin-audit is a skill published in the GitHub repository bdfinst/agentic-dev-team (280 stars, last pushed 2d ago), licensed MIT. It adds 93 tokens to every session and 1,824 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-05.

Related

Other skills, from other repositories

systematic-debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.

obra/superpowers · 21 tokens

local-ai-agents

Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…

microsoft/ai-agents-for-beginners · 200 tokens

next-cache-components-adoption

Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…

vercel/next.js · 95 tokens

next-partial-prefetching-adoption

Turn on Partial Prefetching in a Next.js app and work through the insights it surfaces. Use when the user wants to enable or adopt Partial Prefetching, flip the partialPrefetching flag, opt routes in with export const prefetch = 'partial', audit Link prefetch={true} behavior, preserve existing prefetched UI with…

vercel/next.js · 103 tokens

chronicle

Analyze Copilot session history for standup reports, usage tips, session search, and session reindexing. Use when the user asks for a standup, daily summary, usage tips, workflow recommendations, wants to search or find past sessions by keyword/file/PR, wants to reindex their session store, or asks about deleting…

microsoft/vscode · 72 tokens

babysit-pr

Babysit a GitHub pull request after creation by continuously polling review comments, CI checks/workflow runs, and mergeability state until the PR is merged/closed or user help is required. Diagnose failures, retry likely flaky failures up to 3 times, auto-fix/push branch-related issues when appropriate, and keep…

openai/codex · 114 tokens