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 skills add mgiovani/cc-arsenal --skill review-depsgit clone --depth 1 https://github.com/mgiovani/cc-arsenalWrote 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/mgiovani/cc-arsenal/review-deps)<a href="https://agentmods.dev/skills/mgiovani/cc-arsenal/review-deps"><img src="https://agentmods.dev/badge/skills/mgiovani/cc-arsenal/review-deps/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/mgiovani/cc-arsenal/review-deps"><img src="https://agentmods.dev/badge/skills/mgiovani/cc-arsenal/review-deps.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00131 | $0.01528 |
| Opus 5.5 | $0.00052 | $0.00611 |
| Sonnet 5.5 | $0.00026 | $0.00306 |
| Haiku 4.5 | $0.00013 | $0.00153 |
Grade A, and why
review-deps 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 1mo 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 — 121 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Dependency Review
Dependency audit covering vulnerability scanning, license compliance, and staleness. This skill only analyzes: it never touches code or lock files. It also never auto-installs upgrades or missing audit tools, reporting anything missing as unavailable instead.
Cite exact package names/versions/CVE IDs from actual tool output, never estimate or invent them.
Audit Workflow
Phase 1: Detect Package Managers & Technology Stack
Discover all package managers present in the project:
Use Glob to check for the existence of these files:
- package.json / package-lock.json / yarn.lock / pnpm-lock.yaml → npm/yarn/pnpm (Node.js)
- pyproject.toml / requirements*.txt / Pipfile / setup.py → pip/uv/poetry (Python)
- Cargo.toml / Cargo.lock → cargo (Rust)
- go.mod / go.sum → go modules (Go)
- composer.json / composer.lock → composer (PHP)
- Gemfile / Gemfile.lock → bundler (Ruby)
- *.csproj / packages.config / Directory.Packages.props → NuGet (.NET)
- pom.xml / build.gradle / build.gradle.kts → Maven/Gradle (Java/Kotlin)
Read each detected manifest to understand:
- Total number of direct dependencies
- Total number of dev dependencies
- Whether lock files are present and committed
- Workspace/monorepo structure (multiple package.json, Cargo.toml workspaces, etc.)
Phase 2: Run Native Audit Commands
Execute the audit command for each detected package manager. Run independent commands in parallel, and save all raw output (including "tool not installed" errors) for Phase 3. Commands per ecosystem are in references/audit-commands.md, load it now.
Phase 3: Analyze Vulnerabilities, Licenses, and Staleness
Analyze the Phase 2 output across three dimensions (vulnerability triage, license compliance, staleness/upgrade complexity) scoped per the Scoping section below. Detailed per-dimension steps and risk-classification tables are in references/agent-prompts.md, load it before starting this phase.
What ships with it
5 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.
- 1mo ago Changed · +6 lines 0ebca5044d2c
- 1mo ago Changed · +1 lines e6c530711c0a
- 1mo ago First seen · 114 lines · 131 tokens per session scan A 912846dba4a2
review-deps is a skill published in the GitHub repository mgiovani/cc-arsenal (8 stars, last pushed 2d ago), licensed MIT. It adds 131 tokens to every session and 1,528 once invoked, about $0.0005 per session on Opus 5.5. 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.
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