analyze

A command that checks a software package’s safety, license, size, and known security vulnerabilities before installation.

In plain words
What is it for?
Use it to review an npm or pip package before deciding whether to approve or reject its installation.
Why use it?
It helps you identify packages that may be unsafe, incompatible with your license, or unnecessarily large before adding them to a project.

Skill for Claude CodeCodex

Part of the dependency-doctor plugin — 4 skills shipped together

Install

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.

agentmods
npx agentmods add skills/gowtham012/claude-plugins/analyze
Any agent
npx skills add gowtham012/Claude-plugins --skill analyze
Clone the repo
git clone --depth 1 https://github.com/gowtham012/Claude-plugins

Made for: Claude Code, Codex.

Or install dependency-doctor, the plugin that ships this one along with the rest of its 4 skills.

Per session 19 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 230 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00019 $0.00230
Opus 5 $0.00010 $0.00115
Sonnet 5 $0.00004 $0.00046
Haiku 4.5 $0.00002 $0.00023

Measured 3d ago against content hash a2da313f7dbf, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

analyze 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 3d 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.

dependency-doctor/skills/analyze/SKILL.md · 22 lines

What it actually says

Instructions

Parse $ARGUMENTS to extract the package name and ecosystem.

  • If two words are provided, the first is the package name and the second is the ecosystem (npm or pip).
  • If only one word is provided, assume npm as the ecosystem.
  • If no arguments, ask the user for a package name.

Call mcp__dependency-doctor__analyze_package with the package name, ecosystem, and cwd = current working directory.

This single call returns registry info, bundle size (npm), vulnerabilities, and license compatibility — all in one report.

Display the result clearly. If the package looks safe, suggest running /dependency-doctor:approve <package> to allow installation. If there are license or vulnerability warnings, suggest /dependency-doctor:reject <package> with a reason.

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. 3d ago First seen · 22 lines · 19 tokens per session scan A a2da313f7dbf

Subscribe to this mod's changes

analyze is a skill published in the GitHub repository gowtham012/Claude-plugins (5 stars, last pushed 5mo ago), licensed MIT. It adds 19 tokens to every session and 230 once invoked, about $0.0001 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.

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