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 big-emotion/agent-atelier --skill repo-scoutgit clone --depth 1 https://github.com/big-emotion/agent-atelierWrote 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/big-emotion/agent-atelier/repo-scout)<a href="https://agentmods.dev/skills/big-emotion/agent-atelier/repo-scout"><img src="https://agentmods.dev/badge/skills/big-emotion/agent-atelier/repo-scout/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/big-emotion/agent-atelier/repo-scout"><img src="https://agentmods.dev/badge/skills/big-emotion/agent-atelier/repo-scout.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 | $0.00045 | $0.01261 |
| Opus 5 | $0.00023 | $0.00630 |
| Sonnet 5 | $0.00009 | $0.00252 |
| Haiku 4.5 | $0.00005 | $0.00126 |
Grade C, and why
repo-scout scanned grade C with 2 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 11d 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.
Recursive force deletehighDestructive command
rm -rf with a variable or a broad path is one typo away from removing the wrong tree.
Delete the cloned repo: `rm -rf /tmp/repo-scout-{repo}` Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
If it's a collection of files: exact cp/curl commands.] How it starts
The opening of the file, as written. The whole thing — 116 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Repo Scout
Quickly understand a GitHub repo, extract what's valuable — both for .claude/ and for your own projects — and get concrete usage instructions.
When to Activate
- User shares a GitHub repo URL and wants to understand it
- User says "scout this repo", "what does this repo do", "analyze this repo"
- User wants to know what's reusable in a repo
- User asks "what can I steal from this repo"
Input
The skill takes one argument: a GitHub repo URL (e.g., https://github.com/owner/repo).
The URL may include extra path segments or query params (e.g. ?tab=readme-ov-file) — strip them and extract owner/repo.
If no URL is provided, ask for one.
Workflow
Step 1: Clone and Explore
- Extract
owner/repofrom the URL - Clone into
/tmp/repo-scout-{repo}usinggh repo clone {owner/repo} /tmp/repo-scout-{repo} -- --depth 1 - If the clone fails (auth, not found), inform the user and stop
Step 2: Read Key Files
Read these files in parallel (skip any that don't exist):
README.md(orreadme.md,README)CLAUDE.mdSKILL.mdpackage.json/pyproject.toml/Cargo.toml/go.mod(for metadata + dependencies)LICENSE
Then do a structural deep scan:
lsthe root directory- Glob for
**/*.mdto find other documentation - Glob for skill/agent definitions:
**/SKILL.md,**/skills/**,**/agents/**,**/.claude/** - Glob for reusable code:
**/components/**,**/utils/**,**/lib/**,**/services/**,**/hooks/**,**/helpers/**,**/middleware/**,**/prompts/**,**/templates/** - Read key source files that look reusable (utilities, services, core logic) — skim 5-10 files max to understand quality and patterns
Step 3: Analyze and Respond
Produce a structured response with exactly these sections:
## What it does
[2-3 sentence plain-language summary. No marketing fluff. What problem does it solve, for whom.]
## 3 things you need to know
1. **[Thing]** — [concise explanation. Focus on what matters for someone evaluating this repo]
2. **[Thing]** — [architecture, key pattern, or important limitation]
3. **[Thing]** — [maturity, quality, or gotcha worth knowing]
## Reusable parts — what to steal
### For `~/.claude/` (skills, agents, configs)
[List specific files/directories worth copying into .claude/, with exact cp commands.
Focus on: skills, agents, CLAUDE.md snippets, prompts, configurations.
If nothing is worth copying, say "Nothing `.claude/`-specific here." and move on.]
### For your projects (components, utils, patterns)
[List reusable code: components, utilities, services, patterns, middleware, configs.
For each item:]
- **`path/to/file.ts`** — [what it does] — **Why:** [why it's worth reusing over writing your own]
[If the repo has nothing worth extracting, say so honestly. Don't invent value.]
## Use it right now
[One concrete, copy-paste example of using this repo/tool/skill TODAY.
Include the actual command or code. No "you could" — show "do this".
If it's a library: install + minimal usage.
If it's a tool: run command.
If it's a collection of files: exact cp/curl commands.]
## Quick stats
- **Language:** [primary language]
- **License:** [license type — flag if restrictive]
- **Last commit:** [date, from git log --format="%ai" -1]
- **Stars:** [from gh repo view --json stargazerCount]
- **Health:** [Active / Maintained / Stale / Abandoned — based on commit frequency and issue activity]
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.
- 11d ago First seen · 116 lines · 45 tokens per session scan C bcdeef5be1df
repo-scout is a skill published in the GitHub repository big-emotion/agent-atelier (2 stars, last pushed 4d ago), licensed MIT. It adds 45 tokens to every session and 1,261 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it C with 2 findings (recursive force delete, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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