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 gowtham012/Claude-plugins --skill analyzegit clone --depth 1 https://github.com/gowtham012/Claude-pluginsWrote 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/gowtham012/claude-plugins/analyze)<a href="https://agentmods.dev/skills/gowtham012/claude-plugins/analyze"><img src="https://agentmods.dev/badge/skills/gowtham012/claude-plugins/analyze/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/gowtham012/claude-plugins/analyze"><img src="https://agentmods.dev/badge/skills/gowtham012/claude-plugins/analyze.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 | $0.00019 | $0.00230 |
| Opus 5.5 | $0.00008 | $0.00092 |
| Sonnet 5.5 | $0.00004 | $0.00046 |
| Haiku 4.5 | $0.00002 | $0.00023 |
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 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.
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 (
npmorpip). - If only one word is provided, assume
npmas 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.
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 First seen · 22 lines · 19 tokens per session scan A a2da313f7dbf
analyze is a skill published in the GitHub repository gowtham012/Claude-plugins (5 stars, last pushed 7mo ago), licensed MIT. It adds 19 tokens to every session and 230 once invoked, about $0.0001 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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