Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add skills/build-with-dhiraj/ai-workflow-framework-portability-kit/plugin-auditnpx skills add build-with-dhiraj/ai-workflow-framework-portability-kit --skill plugin-auditgit clone --depth 1 https://github.com/build-with-dhiraj/ai-workflow-framework-portability-kitWrote 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.
[](https://agentmods.dev/skills/build-with-dhiraj/ai-workflow-framework-portability-kit/plugin-audit)<a href="https://agentmods.dev/skills/build-with-dhiraj/ai-workflow-framework-portability-kit/plugin-audit"><img src="https://agentmods.dev/badge/skills/build-with-dhiraj/ai-workflow-framework-portability-kit/plugin-audit.svg" alt="Measured on agentmods" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00062 | $0.00691 |
| Opus 5 | $0.00031 | $0.00345 |
| Sonnet 5 | $0.00012 | $0.00138 |
| Haiku 4.5 | $0.00006 | $0.00069 |
Grade A, and why
plugin-audit scanned grade A with 1 finding 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 6d 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.
Reads agent configuration directorieslowAgent snooping
.claude/, .codex/, .gemini/ hold keys, settings and other credentials a mod has no legitimate need for.
diff <(grep 'pattern' skills/<skill>/SKILL.md) <(grep 'pattern' ~/.claude/plugins/cache/.../skills/<skill>/SKILL.md) Downgraded: this mod is about security review, or the phrase is quoted, so it is likely naming the pattern rather than instructing it.
How it starts
The opening of the file, as written. The whole thing — 74 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Plugin Audit
Audit how well vercel-plugin skill injection performs on real-world Claude Code sessions.
Workflow
1. Locate conversation logs
Find JSONL conversation logs for a target project:
ls -lt ~/.claude/projects/-Users-*-<project-name>/*.jsonl
The path uses the project's absolute path with slashes replaced by hyphens and a leading hyphen.
2. Extract tool calls
Parse the JSONL log to extract all tool_use entries. Each line is a JSON object with message.content[] containing type: "tool_use" blocks. Extract name and input fields. Group by tool type (Bash, Read, Write, Edit).
3. Test hook matching
Use the exported pipeline functions directly — do NOT shell out to the hook script for each test. Import from the hooks directory:
import { loadSkills, matchSkills } from "./hooks/pretooluse-skill-inject.mjs";
import { createLogger } from "./hooks/logger.mjs";
Call loadSkills() once, then matchSkills(toolName, toolInput, compiledSkills) for each tool call. This is fast and gives exact match results.
4. Identify gaps
Compare matched skills against what SHOULD have matched based on the project's technology stack. Common gap categories:
- Path pattern gaps: Files that should trigger a skill but don't (e.g.,
src/db/schema.tsnot matchingvercel-storage) - Bash pattern gaps: Commands that should trigger but don't (e.g., missing package manager variants)
- Dedup masking: Skills that matched but were deduped before injection
- Budget/cap drops: Skills matched but dropped by the 12KB budget or 3-skill ceiling
5. Check plugin cache staleness
Compare the installed plugin cache against the dev version:
# Cache location
~/.claude/plugins/cache/vercel-labs-vercel-plugin/vercel-plugin/<version>/
# Compare skill content
diff <(grep 'pattern' skills/<skill>/SKILL.md) <(grep 'pattern' ~/.claude/plugins/cache/.../skills/<skill>/SKILL.md)
Check ~/.claude/plugins/installed_plugins.json for version and git SHA.
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 6d ago First seen · 74 lines · 62 tokens per session scan A 3179280ffb97
plugin-audit is a skill published in the GitHub repository build-with-dhiraj/ai-workflow-framework-portability-kit (4 stars, last pushed 24d ago), licensed MIT. It adds 62 tokens to every session and 691 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 1 finding (reads agent configuration directories). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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