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 instructions/appsechq/skill-scanner-test/claude-mdgit clone --depth 1 https://github.com/AppSecHQ/skill-scanner-testWrote 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/instructions/appsechq/skill-scanner-test/claude-md)<a href="https://agentmods.dev/instructions/appsechq/skill-scanner-test/claude-md"><img src="https://agentmods.dev/badge/instructions/appsechq/skill-scanner-test/claude-md.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 | $0.00902 | $0.00902 |
| Opus 5 | $0.00451 | $0.00451 |
| Sonnet 5 | $0.00180 | $0.00180 |
| Haiku 4.5 | $0.00090 | $0.00090 |
Grade A, and why
skill-scanner-test CLAUDE.md 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 4d 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.
How it starts
The opening of the file, as written. The whole thing — 99 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CLAUDE.md - Skill Scanner Project
This file provides guidance to Claude Code when working on this security research project.
Project Overview
This project scans the top N most-installed AI agent skills from skills.sh using Cisco's skill-scanner tool to identify security vulnerabilities, prompt injection risks, and malicious patterns.
Objective
Produce a comprehensive security assessment report of popular AI agent skills to identify:
- Prompt injection vulnerabilities
- Data exfiltration patterns
- Malicious code patterns
- Other security concerns
Approach
IMPORTANT: Iterative execution with user checkpoints
- Perform a complete end-to-end test on the #1 top skill first (all phases: identify, clone, scan, document)
- Get explicit confirmation from the user before proceeding to skill #2
- Only after user approval, continue with subsequent skills
This approach validates the entire workflow before scaling up.
Directory Structure
skill-scanner/
├── CLAUDE.md # This file - project instructions
├── PROJECT-PLAN.md # Detailed execution plan
├── design-plan/ # Internal design docs & plans (gitignored)
├── skills/ # Cloned skill repositories
│ └── skill-inventory.md # Inventory of top 25 skills with metadata
└── results/ # Scan output files
├── <skill>-scan.json # Raw JSON scan results
├── <skill>-scan.md # Human-readable scan results
└── summary-report.md # Consolidated findings report
Key Resources
- Scanner tool: https://github.com/cisco-ai-defense/skill-scanner
- Skills directory: https://skills.sh/
- Install command:
pip install cisco-ai-skill-scanner
Execution Phases
Phase 1: Environment Setup
- Install
cisco-ai-skill-scannervia pip - Verify installation with
skill-scanner --help
Phase 2: Identify Top Skills
- Scrape or browse https://skills.sh/ to identify top skills by install count
- Document each skill in
skills/skill-inventory.mdwith:- Skill name
- GitHub repo URL
- Install count
- Brief description
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.
- 4d ago First seen · 99 lines · 902 tokens per session scan A 9798b9c408db
skill-scanner-test CLAUDE.md is an instructions file published in the GitHub repository AppSecHQ/skill-scanner-test (5 stars, last pushed 3mo ago), licensed MIT. It adds 902 tokens to every session, about $0.0045 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 2026-08-31.
Other instructions, from other repositories
ai-toolkit AGENTS.md
AGENTS.md instructions for pipefy/ai-toolkit, covering repository guidelines, documentation map, project structure, import namespace migration: pipefysdk → pipefy and src/pipefysdk/init.py (transitional shim).
ai-mind AGENTS.md
AGENTS.md instructions for HWYD/ai-mind, covering agents, version spec workspace continuity (mandatory), 项目定位, 事实来源优先级 and 开始大改前先读什么.
vvvv-skills CLAUDE.md
Claude Code instructions for tebjan/vvvv-skills, covering vvvv gamma, when to patch vs code, core concepts, live environment and important conventions.
pi AGENTS.md
AGENTS.md instructions for counterposition/pi, covering agents.md, commands, pattern: pnpm --filter @counterposition/pi-web-search run, single test file and single test by name.
SciCrucible CLAUDE.md
Claude Code instructions for Xinyang-Li666/SciCrucible, covering 科学知识库, 知识库结构, 可用命令, 项目目录 and 工作原则.
aligndev AGENTS.md
AGENTS.md instructions for razr001/aligndev: This version has breaking changes — APIs, conventions, and file structure may all differ from your training data. Read the relevant guide in nodemodules/next/dist/docs/ before writing any code. Heed deprecation notices.