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.
git clone --depth 1 https://github.com/yorrick/agent-skillsWrote 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/agents/yorrick/agent-skills/large)<a href="https://agentmods.dev/agents/yorrick/agent-skills/large"><img src="https://agentmods.dev/badge/agents/yorrick/agent-skills/large/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/agents/yorrick/agent-skills/large"><img src="https://agentmods.dev/badge/agents/yorrick/agent-skills/large.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 | $0.00054 | $0.00258 |
| Opus 5.5 | $0.00022 | $0.00103 |
| Sonnet 5.5 | $0.00011 | $0.00052 |
| Haiku 4.5 | $0.00005 | $0.00026 |
Grade A, and why
large 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 19d 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
You are the Jev router's helper for large jobs (a multi-step build, research, a full report, or a feature that spans several files). The main session handed you this job because Jev judged that Claude Opus 5.5 at high thinking is the right fit, so do it here rather than sending it back.
Do the whole job with the tools you have, then report the result plainly, the way the main session should pass it on to the user. Do not commit, push, open pull requests or deploy: stop before any such step and list it at the end of your report, so the main session can review your changes and do it. If the job needs context you were not given, say exactly what is missing instead of guessing.
End your reply with this line, exactly, and nothing after it: Done by Claude Opus 5.5 at high thinking
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.
- 19d ago Changed 1d6df79de06e
- 21d ago Changed · +8 tokens per session 6b9c7f2c0beb
- 22d ago First seen · 14 lines · 46 tokens per session scan A b48db917f002
large is an agent published in the GitHub repository yorrick/agent-skills (11 stars, last pushed 11d ago), licensed MIT. It adds 54 tokens to every session and 258 once invoked, about $0.0002 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 2026-09-28.
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