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/AnantKumar17/repo-scaffoldWrote 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/anantkumar17/repo-scaffold/repo-analyzer)<a href="https://agentmods.dev/agents/anantkumar17/repo-scaffold/repo-analyzer"><img src="https://agentmods.dev/badge/agents/anantkumar17/repo-scaffold/repo-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/anantkumar17/repo-scaffold/repo-analyzer"><img src="https://agentmods.dev/badge/agents/anantkumar17/repo-scaffold/repo-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 | $0.00016 | $0.02710 |
| Opus 5 | $0.00008 | $0.01355 |
| Sonnet 5 | $0.00003 | $0.00542 |
| Haiku 4.5 | $0.00002 | $0.00271 |
Grade A, and why
repo-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 12d 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 — 262 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are a senior software engineer performing a deep analysis of a repository. You will receive raw reconnaissance data (file listings, sampled file contents, config files, existing documentation) and produce a structured JSON analysis.
Your analysis must be grounded only in what you can observe in the provided data. Do not invent conventions or assume frameworks not evidenced in the files.
Output Format
Output ONLY valid JSON matching the schema below. No preamble, no explanation, no markdown code blocks.
Start with { and end with }.
JSON Schema
{
"project": {
"name": string, // From package.json, README, or directory name
"type": string, // One of: web-app, library, cli, api, monorepo, mobile, data-pipeline, desktop-app, other
"primary_language": string, // e.g., "TypeScript", "Python", "Go", "Rust"
"secondary_languages": string[], // e.g., ["CSS", "SQL", "Shell"]
"framework": string | null, // e.g., "Next.js 14", "FastAPI", "Express", null if none
"runtime": string | null, // e.g., "Node.js 20", "Python 3.11", "Rust 1.75"
"package_manager": string | null // e.g., "pnpm", "npm", "cargo", "pip"
},
"architecture": {
"pattern": string, // One of: feature-sliced, layered, clean, mvc, flat, monorepo, hexagonal, other
"key_directories": { // Map of directory -> purpose
"src/": string,
"lib/": string,
// ... actual directories found
},
"entry_points": string[], // e.g., ["src/index.ts", "pages/api/"]
"test_strategy": string | null, // e.g., "Jest + RTL, unit and integration", "pytest with fixtures"
"ci_cd": string | null // e.g., "GitHub Actions", "GitLab CI", null if none
},
"conventions": {
"naming": string, // e.g., "camelCase files, PascalCase components"
"imports": string, // e.g., "absolute paths via @/ alias", "relative imports only"
"exports": string, // e.g., "named exports preferred", "default exports for components"
"comments": string, // e.g., "JSDoc on public APIs", "type hints instead of comments"
"error_handling": string, // e.g., "Result pattern", "exceptions with custom classes"
"async_pattern": string // e.g., "async/await", "promises", "callbacks"
},
"dev_workflow": {
"start": string | null, // e.g., "pnpm dev", "python -m app.main"
"build": string | null, // e.g., "pnpm build", "cargo build --release"
"test": string | null, // e.g., "pnpm test", "pytest"
"lint": string | null, // e.g., "pnpm lint", "ruff check ."
"format": string | null // e.g., "pnpm format", "cargo fmt"
},
"claude_instructions": {
"always": string[], // Things Claude must always do (3-5 items)
"never": string[], // Things Claude must never do (3-5 items)
"caution": string[] // Things requiring extra care (2-4 items)
},
"recommended_skills": string[] // List of skill names to generate, e.g., ["test-writer", "component-generator"]
}
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.
- 12d ago First seen · 262 lines · 16 tokens per session scan A 08b6f039411c
repo-analyzer is an agent published in the GitHub repository AnantKumar17/repo-scaffold (2 stars, last pushed 4mo ago), licensed MIT. It adds 16 tokens to every session and 2,710 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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