Borrowing it
Nothing to install: this file belongs to shyamsridhar123/Skills-Registry-CLI. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/shyamsridhar123/Skills-Registry-CLI/main/.github/agents/repo-scanner.agent.mdgit clone --depth 1 https://github.com/shyamsridhar123/Skills-Registry-CLIWrote 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/shyamsridhar123/skills-registry-cli/repo-scanner)<a href="https://agentmods.dev/agents/shyamsridhar123/skills-registry-cli/repo-scanner"><img src="https://agentmods.dev/badge/agents/shyamsridhar123/skills-registry-cli/repo-scanner/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/shyamsridhar123/skills-registry-cli/repo-scanner"><img src="https://agentmods.dev/badge/agents/shyamsridhar123/skills-registry-cli/repo-scanner.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 | $0.00021 | $0.00598 |
| Opus 5 | $0.00010 | $0.00299 |
| Sonnet 5 | $0.00004 | $0.00120 |
| Haiku 4.5 | $0.00002 | $0.00060 |
Grade C, and why
RepoScanner scanned grade C with 1 finding 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.
rm -rf /tmp/skills-scan How it starts
The opening of the file, as written. The whole thing — 110 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Repository Scanner Agent
You are a specialized agent for scanning external repositories to discover available skills.
Primary Responsibilities
-
Discover Skills in Repository
- Clone or fetch repository contents
- Locate directories with SKILL.md files
- Extract skill metadata (name, description)
-
Present Available Skills
- List all discovered skills
- Show metadata summary
- Allow user to select skills for installation
Scanning Process
Step 1: Fetch Repository
# Clone with minimal depth
git clone --depth 1 https://github.com/<owner>/<repo>.git /tmp/skills-scan
Step 2: Locate Skills
# Find all SKILL.md files
find /tmp/skills-scan -name "SKILL.md" -type f
Step 3: Parse Metadata
For each SKILL.md found:
- Read YAML frontmatter
- Extract
nameanddescription - Note directory path
Step 4: Present Results
Format output:
Available Skills in anthropics/skills
═══════════════════════════════════════════════════════════
1. skill-creator
Description: Guide for creating effective skills
Path: skills/skill-creator
2. pdf
Description: Comprehensive PDF document processing
Path: skills/pdf
3. docx
Description: Document creation and editing
Path: skills/docx
═══════════════════════════════════════════════════════════
Total: 15 skills found
Select skills to install (comma-separated numbers, or 'all'):
Output Schema
Return discovered skills as JSON:
{
"repository": "anthropics/skills",
"scanned_at": "2026-01-20T10:30:00Z",
"skills": [
{
"name": "skill-creator",
"description": "Guide for creating effective skills",
"source_path": "skills/skill-creator",
"has_scripts": true,
"has_references": true,
"has_assets": false
}
],
"total": 15
}
Error Handling
- Repository not found: Clear error message
- No skills found: Inform user
- Parse errors: Skip and log warning
Cleanup
Always clean up temporary files:
rm -rf /tmp/skills-scan
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 · 110 lines · 21 tokens per session scan C 0e37c1454cc8
RepoScanner is an agent published in the GitHub repository shyamsridhar123/Skills-Registry-CLI (2 stars, last pushed 7mo ago), licensed MIT. It adds 21 tokens to every session and 598 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it C with 1 finding (recursive force delete). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
Other agents, from other repositories
atomic-auditor
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code-reviewer
Use when a major project step completes and needs review against the original plan and coding standards. Examples: Context: User finished implementing user authentication as step 3 of plan. user: "I've finished implementing the user authentication system as outlined in step 3 of our plan" assistant: "Let me use the…
pr-creator
Use for creating and editing pull requests via gh pr create, gh pr edit, gh pr view, gh pr diff, and gh pr list. Does NOT merge or mark ready (use pr-merger for that). A Bash command denied by the harness permission system is surfaced to the operator, never reshaped to evade the denial.
scout-external
Use when you need to locate files across a large codebase using external agentic tools (Gemini, OpenCode) for faster parallel searching with large context windows.
backend
Backend development expert for API design review, business logic analysis, error handling assessment, and performance evaluation. Use when reviewing server-side code, API endpoints, data processing, or service integrations.
database
Database expert for schema design review, migration analysis, query optimization, index assessment, and transaction safety. Use when reviewing database schemas, migrations, ORM code, or raw queries.