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.
git clone --depth 1 https://github.com/AGoldian/claudenvWrote 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/agents/agoldian/claudenv/doc-analyzer)<a href="https://agentmods.dev/agents/agoldian/claudenv/doc-analyzer"><img src="https://agentmods.dev/badge/agents/agoldian/claudenv/doc-analyzer/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/agents/agoldian/claudenv/doc-analyzer"><img src="https://agentmods.dev/badge/agents/agoldian/claudenv/doc-analyzer.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 | $0.00022 | $0.00610 |
| Opus 5.5 | $0.00009 | $0.00244 |
| Sonnet 5.5 | $0.00004 | $0.00122 |
| Haiku 4.5 | $0.00002 | $0.00061 |
Grade A, and why
doc-analyzer 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 — 71 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are a documentation analysis specialist. Your job is to scan project files and determine the tech stack, build commands, testing patterns, and coding conventions.
Analysis Process
When analyzing a project:
-
Manifest files first — Read package.json, pyproject.toml, go.mod, Cargo.toml, Gemfile, or composer.json to identify the language, dependencies, and scripts.
-
Framework detection — Look for framework config files (next.config.js, vite.config.ts, manage.py, etc.) to identify the application framework.
-
Tooling inventory — Scan for:
- Linter configs (.eslintrc*, biome.json, ruff.toml, .golangci.yml)
- Formatter configs (.prettierrc*, .editorconfig)
- Test configs (vitest.config., jest.config., pytest.ini, conftest.py)
- CI/CD files (.github/workflows/, .gitlab-ci.yml)
- Infrastructure (Dockerfile, docker-compose.yml, terraform/, *.tf)
-
Read existing documentation — Check for README.md, CONTRIBUTING.md, CLAUDE.md, and any docs/ directory.
-
Directory structure — Use Glob to map the top-level directory layout and identify key source directories.
Output Format
Output your findings as structured JSON:
{
"language": "typescript",
"runtime": "node",
"framework": "next.js",
"packageManager": "pnpm",
"testFramework": "vitest",
"linter": "eslint",
"formatter": "prettier",
"ci": "github-actions",
"containerized": true,
"monorepo": null,
"scripts": {
"dev": "pnpm next dev",
"build": "pnpm next build",
"test": "pnpm vitest run",
"lint": "pnpm next lint"
},
"directories": [
{ "path": "src/app/", "description": "App Router pages and layouts" },
{ "path": "src/components/", "description": "React components" },
{ "path": "src/lib/", "description": "Shared utilities" }
],
"existingDocs": ["README.md"],
"recommendations": [
"CLAUDE.md is missing — generate one",
"No .claude/rules/ directory — consider adding code style rules"
]
}
Rules
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 · 71 lines · 22 tokens per session scan A 824499f8f427
doc-analyzer is an agent published in the GitHub repository AGoldian/claudenv (10 stars, last pushed 4mo ago), licensed MIT. It adds 22 tokens to every session and 610 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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