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 IgorGanapolsky/ThumbGate --skill search-lessonsgit clone --depth 1 https://github.com/IgorGanapolsky/ThumbGateWrote 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/igorganapolsky/thumbgate/search-lessons)<a href="https://agentmods.dev/skills/igorganapolsky/thumbgate/search-lessons"><img src="https://agentmods.dev/badge/skills/igorganapolsky/thumbgate/search-lessons/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/igorganapolsky/thumbgate/search-lessons"><img src="https://agentmods.dev/badge/skills/igorganapolsky/thumbgate/search-lessons.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00021 | $0.00237 |
| Opus 5 | $0.00010 | $0.00118 |
| Sonnet 5 | $0.00004 | $0.00047 |
| Haiku 4.5 | $0.00002 | $0.00024 |
Grade A, and why
search-lessons 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 11d 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
Search Lessons
Search the promoted lessons database for corrective actions and guidance.
When to use
- Looking for corrective actions for a specific failure pattern
- Checking if a known lesson applies to the current task
- Reviewing lifecycle state of lessons (active, archived, superseded)
- Finding linked prevention rules and gates for a topic
How it works
Use the search_lessons MCP tool with a query string. The tool searches across:
- Lesson descriptions — What happened and why
- Corrective actions — Specific steps to prevent recurrence
- Linked rules — Prevention rules generated from the lesson
- Linked gates — Pre-action gates that enforce the lesson
- Lifecycle state — Whether the lesson is active, archived, or superseded
Example
Search lessons for "force push" to find corrective actions and prevention rules related to force pushing.
Results include the full lesson context, any linked enforcement rules, and the current lifecycle state.
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.
- 11d ago First seen · 34 lines · 21 tokens per session scan A 01d872756410
search-lessons is a skill published in the GitHub repository IgorGanapolsky/ThumbGate (26 stars, last pushed today), licensed MIT. It adds 21 tokens to every session and 237 once invoked, about $0.0001 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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