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 rlacombe/switchback-running --skill whygit clone --depth 1 https://github.com/rlacombe/switchback-runningWrote 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/rlacombe/switchback-running/why)<a href="https://agentmods.dev/skills/rlacombe/switchback-running/why"><img src="https://agentmods.dev/badge/skills/rlacombe/switchback-running/why/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/rlacombe/switchback-running/why"><img src="https://agentmods.dev/badge/skills/rlacombe/switchback-running/why.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 | $0.00009 | $0.00155 |
| Opus 5.5 | $0.00004 | $0.00062 |
| Sonnet 5.5 | $0.00002 | $0.00031 |
| Haiku 4.5 | $0.00001 | $0.00015 |
Grade A, and why
why 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 1mo 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
Explain the Evidence
Identify the exact decision or claim. Retrieve the athlete evidence used for it and the smallest relevant set of knowledge chapters. Distinguish peer-reviewed evidence, documented coaching frameworks, athlete-specific observations, derived analysis, and hypotheses. When credible sources disagree, explain the practical difference, assumptions, and relevance to this athlete. Do not invent citations or attribute a precise threshold without a source. End with what the evidence changes in practice and what remains uncertain.
Use the same athlete files and provider calls that supported the original decision. If they were never retrieved or are stale, retrieve them before claiming they support the explanation.
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.
- 1mo ago Changed · -38 lines · -5 tokens per session c16cd1ce381a
- 1mo ago First seen · 57 lines · 14 tokens per session scan A c9e7b4db45a2
why is a skill published in the GitHub repository rlacombe/switchback-running (10 stars, last pushed 1mo ago), licensed MIT. It adds 9 tokens to every session and 155 once invoked, about $0.0000 per session on Opus 5.5. 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 2026-08-30.
Other skills, from other repositories
openevidence
Query OpenEvidence (clinical evidence assistant) without an MCP server. Closely mirrors the openevidence-mcp tool surface - check auth, list question history, fetch an article, or ask a new question (with optional follow-up thread). Use when the user asks medical / evidence-based clinical questions, references…
wtfp-research-literature
This skill researches, organizes, and audits scholarly literature for an academic manuscript. It activates when an agent needs to investigate a research gap, analyze a bibliography, map references to sections, validate citation coverage, repair reference metadata, or perform the WTF-P research-gap, analyze-bib, or…
extract-claims
Extract propositional claims from a paper directory into the propstore source branch using pks source propose-claim.
paper-retriever
Retrieve a scientific paper PDF given an arxiv URL, DOI, or paper title. Downloads to papers/ directory. Handles open-access retrieval (arxiv direct, Chrome print-to-pdf for publisher-direct HTML, Unpaywall, title-based open-repository search); for paywalled papers it hands off to whichever paper-retriever- access…
paper-process
Retrieve a paper, read it, and run the full per-paper propstore ingestion flow through nested skills. Give it a URL, DOI, or title.
ai-analyzer-v2
An AI-based health analysis workflow that examines health data, finds unusual patterns, predicts risks, and produces personalised recommendations and reports.