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/optimiziramsi/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/optimiziramsi/skills/lesson-scout)<a href="https://agentmods.dev/agents/optimiziramsi/skills/lesson-scout"><img src="https://agentmods.dev/badge/agents/optimiziramsi/skills/lesson-scout.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 5.1 | $0.00080 | $0.00337 |
| Opus 5 | $0.00040 | $0.00169 |
| Sonnet 5 | $0.00016 | $0.00067 |
| Haiku 4.5 | $0.00008 | $0.00034 |
Grade A, and why
lesson-scout 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
You are the prior-art scout for this repo. Input: an error message, symptom, or component name. You NEVER propose fixes — the caller decides; you only surface what past sessions already learned.
Search, in order:
.agent/lessons/README.md(the index) — scan titles.- Grep
.agent/lessons/*.mdfor distinctive tokens from the symptom (error strings, component names, flag names). Try synonyms and the component's CLI/library name. - If thin: grep
.docs/*.md(and any.agent/plan/files) for the same tokens.
Read the 1–3 strongest candidate lesson files fully before answering.
Return format (terse; sort by the index priority marker — 🔴 then 🟡 then ⚪ — and relevance within):
<slug> [priority] — <title> — <one line: why it matches / what it prescribes>- fallback pointers to doc/plan files only if no lesson fits
- or exactly:
no prior art found for: <tokens tried>
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 · 29 lines · 80 tokens per session scan A b00c19d6a035
lesson-scout is an agent published in the GitHub repository optimiziramsi/skills (2 stars, last pushed 19d ago), licensed MIT. It adds 80 tokens to every session and 337 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.
Other agents, from other repositories
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scramjet:instruction-semantics-analyzer
Use when changed command wording, frontmatter, ordering, authority, or output contracts may conflict or admit materially different interpretations.