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 instructions/learnprompt/skillrush-town/claude-mdgit clone --depth 1 https://github.com/LearnPrompt/skillrush-townWrote 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/instructions/learnprompt/skillrush-town/claude-md)<a href="https://agentmods.dev/instructions/learnprompt/skillrush-town/claude-md"><img src="https://agentmods.dev/badge/instructions/learnprompt/skillrush-town/claude-md.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 | $0.00315 | $0.00315 |
| Opus 5 | $0.00158 | $0.00158 |
| Sonnet 5 | $0.00063 | $0.00063 |
| Haiku 4.5 | $0.00032 | $0.00032 |
Grade A, and why
skillrush-town CLAUDE.md 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 4d 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
Claude Code Project Context
Use this repository's project Skill as the source of truth:
skills/skillrush-town/SKILL.md
For ingestion changes, also read:
skills/skillrush-town/references/source-contract.mdskills/skillrush-town/references/source-adapter-pattern.mdscripts/clawhub_daily.pytests/test_clawhub_daily.py
For publishing or GitHub Pages changes, also read:
skills/skillrush-town/references/publishing.md.github/workflows/update.ymlassets/app.jsindex.htmlREADME.md
Headless-First Rule
Default validation must not require Chrome, Playwright, Puppeteer, Camofox, Selenium, or any browser login state.
Required checks:
python -m py_compile scripts/clawhub_daily.py
python -m pytest -q
Browser/manual page checks are optional release checks, not baseline CI requirements.
Do Not Drift the Source Contract
The canonical ClawHub ranking source is Convex skills:listPublicPageV4 via POST https://wry-manatee-359.convex.cloud/api/query.
Top100 is built by requesting 4 pages with numItems=25 and carrying nextCursor into the next request as cursor.
For future sources such as Claude Code changelog or Artificial Analysis model leaderboard, do not reuse the ClawHub contract. Create a source-specific contract, fixture tests, and diff rules first.
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.
- 4d ago First seen · 42 lines · 315 tokens per session scan A 63ff50d4bee2
skillrush-town CLAUDE.md is an instructions file published in the GitHub repository LearnPrompt/skillrush-town (107 stars, last pushed today), licensed MIT. It adds 315 tokens to every session, about $0.0016 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 2026-08-30.
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