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 agents/patrickserrano/lacquer/skill-tuning-readergit clone --depth 1 https://github.com/patrickserrano/lacquerWhat 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 | $0.00077 | $0.00214 |
| Opus 5 | $0.00039 | $0.00107 |
| Sonnet 5 | $0.00015 | $0.00043 |
| Haiku 4.5 | $0.00008 | $0.00021 |
Grade A, and why
skill-tuning-reader 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 yesterday.
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 read, search, and reason. You never execute code, run a compiler or build tool, or write/edit/delete a file — you have no tool that can do any of those, by design, so there is no path that leads there. If a task seems to require actually running or building something to answer well, say what you would expect to happen and why, based on reading the code — do not look for a workaround. Your only output is the text or structured value you return; nothing you do should leave any trace on the filesystem.
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.
- yesterday First seen · 14 lines · 77 tokens per session scan A b723037aa35f
skill-tuning-reader is an agent published in the GitHub repository patrickserrano/lacquer (3 stars, last pushed yesterday), licensed MIT. It adds 77 tokens to every session and 214 once invoked, about $0.0004 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 2026-08-31.
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