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-121git 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-121)<a href="https://agentmods.dev/skills/legendtkl/agentic-skill-router/skill-121"><img src="https://agentmods.dev/badge/skills/legendtkl/agentic-skill-router/skill-121/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-121"><img src="https://agentmods.dev/badge/skills/legendtkl/agentic-skill-router/skill-121.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 | $0.00027 | $0.00251 |
| Opus 5 | $0.00014 | $0.00125 |
| Sonnet 5 | $0.00005 | $0.00050 |
| Haiku 4.5 | $0.00003 | $0.00025 |
Grade A, and why
skill-121 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.
What it actually says
Requirements for Outputs
Data Handling Standards
File Support
- The suite should support various file formats including .csv, .xlsx, .json, and .txt.
- Users should ensure that data files are accessible and correctly formatted before analysis.
General Data Cleaning Guidelines
- Each dataset should be reviewed for completeness and accuracy prior to analysis.
- Remove any duplicate rows and standardize formats where necessary.
Data Analysis Techniques
Fundamental Techniques
- Use descriptive statistics to summarize data distributions.
- Visualize data using bar charts, histograms, and scatter plots.
Reporting Insights
- Compile findings into a report format, summarizing key metrics and insights derived from the analysis.
- Visual elements should be included in reports to enhance understanding of the data.
Documentation Standards
Reporting Procedures
- Clearly document the methods and processes used during data analysis.
- Include references to external sources of data and the methodologies applied.
Version Control
- Maintain versioning of data analyses to track changes and updates over time.
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 · 36 lines · 27 tokens per session scan A 041bd9dbb977
skill-121 is a skill published in the GitHub repository legendtkl/agentic-skill-router (5 stars, last pushed 3mo ago), licensed MIT. It adds 27 tokens to every session and 251 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 2026-09-03.
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