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 legendtkl/agentic-skill-router --skill skill-132git clone --depth 1 https://github.com/legendtkl/agentic-skill-routerWrote 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/legendtkl/agentic-skill-router/skill-132)<a href="https://agentmods.dev/skills/legendtkl/agentic-skill-router/skill-132"><img src="https://agentmods.dev/badge/skills/legendtkl/agentic-skill-router/skill-132/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/legendtkl/agentic-skill-router/skill-132"><img src="https://agentmods.dev/badge/skills/legendtkl/agentic-skill-router/skill-132.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 | $0.00030 | $0.02034 |
| Opus 5 | $0.00015 | $0.01017 |
| Sonnet 5 | $0.00006 | $0.00407 |
| Haiku 4.5 | $0.00003 | $0.00203 |
Grade A, and why
skill-132 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 7d 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 — 321 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Software Developer Skill
Purpose
Implement production-quality bioinformatics software from technical specifications with comprehensive testing, documentation, and error handling.
When to Use This Skill
Use this skill when you need to:
- Implement software from architecture specification
- Write production-ready code (not exploratory analysis)
- Create command-line tools or packages
- Build reusable libraries
- Ensure code quality through testing
Workflow Integration
Pattern: Receive Spec → Implement → Test → Document → Deliver
Systems Architect provides technical spec
↓
Software Developer implements
↓ (copilot reviews continuously)
Biologist Commentator validates biological correctness
↓
Production-ready software
Archival Compliance
Before writing any output file:
- Check if archival context was provided via handoff from an orchestrator
- If yes: use the provided archival_context block directly
- If archival_context is "skip": bypass all compliance checks
- If no handoff context: check for
.archive-metadata.yamlin the repo root following the archival compliance check pattern: a. Read the reference document:~/.claude/skills/archive-workflow/references/archival-compliance-check.mdb. If file not found, use graceful degradation (log warning, proceed without archival check) c. Apply the 5-step pattern to all file creation operations - Before writing output, validate path against guidelines
- On violation: if invoked standalone, present advisory options; if invoked via Task tool (sub-agent), apply archival guidelines silently
software-developer specific: Focus on code naming conventions (snake_case for .py) and directory structure (src/, tests/) validation.
Core Capabilities
1. Implementation from Spec
- Translate architecture into working code
- Modular, reusable functions/classes
- Follow coding standards (PEP 8)
- Type hints for clarity
2. Error Handling
- Try/except with informative messages
- Validate inputs
- Graceful failure
- Logging for debugging
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.
- 7d ago First seen · 321 lines · 30 tokens per session scan A 394093884004
skill-132 is a skill published in the GitHub repository legendtkl/agentic-skill-router (5 stars, last pushed 3mo ago), licensed MIT. It adds 30 tokens to every session and 2,034 once invoked, about $0.0002 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 2026-09-03.
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