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-104git 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-104)<a href="https://agentmods.dev/skills/legendtkl/agentic-skill-router/skill-104"><img src="https://agentmods.dev/badge/skills/legendtkl/agentic-skill-router/skill-104/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-104"><img src="https://agentmods.dev/badge/skills/legendtkl/agentic-skill-router/skill-104.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 | $0.00019 | $0.00329 |
| Opus 5 | $0.00010 | $0.00164 |
| Sonnet 5 | $0.00004 | $0.00066 |
| Haiku 4.5 | $0.00002 | $0.00033 |
Grade A, and why
skill-104 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 8d 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
Academic Research Tools
Overview
This skill provides a broad overview of various tools and methodologies applicable across all fields of academic research. From data collection and analysis to writing and citation management, this skill aims to equip researchers with a wide array of resources to enhance their research capabilities, regardless of discipline.
General Research Methodologies
Qualitative Research
Qualitative research methodologies include interviews, focus groups, and observational studies. Utilize diverse tools to effectively gather and analyze qualitative data.
Quantitative Research
For quantitative research, employ statistical analysis software and survey tools. Collect numerical data efficiently to derive meaningful conclusions.
Research Tools
Data Collection Tools
- Surveys: Google Forms, SurveyMonkey
- Interviews: Zoom, Skype
- Observational Tools: Field notes, video recordings
Data Analysis Tools
- Statistical Software: R, SPSS, Stata
- Qualitative Analysis Software: NVivo, ATLAS.ti
Writing and Formatting Tools
- Reference Management: EndNote, Mendeley, Zotero
- Writing Software: LaTeX, Microsoft Word, Google Docs
Conclusion
Although this skill covers a broad spectrum of academic research tools, it is essential to select the appropriate techniques and software according to your specific research needs. For targeted assistance, consider narrowing your inquiry to specific research methodologies or tools.
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.
- 8d ago First seen · 43 lines · 19 tokens per session scan A 18dfac3a35be
skill-104 is a skill published in the GitHub repository legendtkl/agentic-skill-router (5 stars, last pushed 3mo ago), licensed MIT. It adds 19 tokens to every session and 329 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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