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 agentmods add skills/legendtkl/agentic-skill-router/skill-005npx skills add legendtkl/agentic-skill-router --skill skill-005git 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-005)<a href="https://agentmods.dev/skills/legendtkl/agentic-skill-router/skill-005"><img src="https://agentmods.dev/badge/skills/legendtkl/agentic-skill-router/skill-005.svg" alt="Measured on agentmods" 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 | $0.00015 | $0.02469 |
| Opus 5 | $0.00008 | $0.01234 |
| Sonnet 5 | $0.00003 | $0.00494 |
| Haiku 4.5 | $0.00002 | $0.00247 |
Grade A, and why
skill-005 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 5d 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 — 329 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Auto-Routing Skill
Intelligent routing of tasks to optimal agents and swarms based on task characteristics, file patterns, and workflow context.
Overview
This skill provides:
- Keyword-Based Routing: Match task keywords to specialized agents
- File Pattern Routing: Route based on file paths being modified
- Topology Selection: Choose optimal coordination topology
- Swarm Configuration: Configure multi-agent swarm execution
- Load Balancing: Distribute work across available agents
Routing Algorithms
1. Keyword Pattern Matching
Match task descriptions to agent specializations:
const keywordPatterns = {
"investment-analysis": {
pattern: /underwrite|credit|loan|collateral|lien|ucc|security.package/i,
agents: ["deal-underwriter", "investment-analyst"],
priority: 1
},
"financial-modeling": {
pattern: /dcf|lbo|valuation|model|projection|scenario|sensitivity/i,
agents: ["financial-modeler"],
priority: 1
},
"portfolio-risk": {
pattern: /stock|portfolio|risk|var|sharpe|sortino|beta|drawdown|volatility/i,
agents: ["financial-analysis-swarm", "risk-assessor", "portfolio-manager"],
priority: 1
},
"infrastructure": {
pattern: /docker|kubernetes|k8s|deploy|ci.?cd|github.?actions|pipeline|prometheus|grafana/i,
agents: ["infrastructure-devops-swarm"],
priority: 2
},
"backend": {
pattern: /api|endpoint|fastapi|rest|graphql|database|postgres|timescale|redis|celery/i,
agents: ["backend-api-swarm"],
priority: 2
},
"frontend": {
pattern: /react|component|dashboard|chart|visualization|ui|ux|material.?ui/i,
agents: ["ui-visualization-swarm"],
priority: 2
},
"data-ml": {
pattern: /etl|pipeline|airflow|dag|ml|model|training|prophet|xgboost|feature/i,
agents: ["data-ml-pipeline-swarm", "data-science-architect"],
priority: 2
},
"quality": {
pattern: /test|coverage|pytest|jest|e2e|integration|unit|quality|lint/i,
agents: ["project-quality-swarm", "tdd-guide", "e2e-runner"],
priority: 3
},
"security": {
pattern: /security|vulnerability|audit|compliance|gdpr|sec|permission|access/i,
agents: ["security-compliance-swarm", "security-reviewer"],
priority: 2
}
};
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.
- 5d ago First seen · 329 lines · 15 tokens per session scan A 124a25fade47
skill-005 is a skill published in the GitHub repository legendtkl/agentic-skill-router (5 stars, last pushed 3mo ago), licensed MIT. It adds 15 tokens to every session and 2,469 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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