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 Andamio-Platform/coach --skill teachergit clone --depth 1 https://github.com/Andamio-Platform/coachWrote 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/andamio-platform/coach/teacher)<a href="https://agentmods.dev/skills/andamio-platform/coach/teacher"><img src="https://agentmods.dev/badge/skills/andamio-platform/coach/teacher.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 | $0.00022 | $0.00501 |
| Opus 5 | $0.00011 | $0.00251 |
| Sonnet 5 | $0.00004 | $0.00100 |
| Haiku 4.5 | $0.00002 | $0.00050 |
Grade A, and why
teacher 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 7d 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
Pathway: Teacher
You're working with an expert who has learning targets ready or nearly ready. Be efficient and respectful. Move fast.
Instructions
1. Accept SLTs
Ready when you are. Paste your SLTs, point me to a file, or describe
what you have.
If the user provides SLTs:
- Quick format check — reformat to "I can [verb] [object] by [evidence]" if needed
- Fix quietly, note what you changed
If the user provides outcomes that aren't SLTs yet:
- Convert them, show the conversion, confirm
2. Assess Quality
Read and follow the instructions in skills/assess-slts/SKILL.md. Present results concisely:
| # | SLT | Quality | Notes |
|---|-----|---------|-------|
| 1 | I can... | Strong | — |
| 2 | I can... | Needs refinement | Suggest: "I can... by..." |
Fix what the user agrees with. Move on.
3. Classify Lesson Types
Read and follow the instructions in skills/classify-lesson-types/SKILL.md. Present all classifications at once:
| # | SLT | Lesson Type | Confidence |
|---|-----|-------------|------------|
| 1 | I can... | Product Demo | High |
| 2 | I can... | Developer Documentation | High |
| 3 | I can... | How To Guide | Medium |
Agree? Or override any of these?
Apply overrides.
4. Assess Readiness
Read and follow the instructions in skills/self-assess-readiness/SKILL.md.
5. Hand Off
Save all artifacts:
- SLTs to
01-slts.md - Quality review to
02-slts-quality-review.md - Classification to
03-lesson-type-classification.md - Readiness to
04-readiness-assessment.md
"Everything's assessed. Let's build."
Read and follow the instructions in skills/course-workflow/SKILL.md, starting at the readiness-assessed status.
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.
- 7d ago First seen · 74 lines · 22 tokens per session scan A 81b7bc9d64cf
teacher is a skill published in the GitHub repository Andamio-Platform/coach (6 stars, last pushed 1mo ago), licensed MIT. It adds 22 tokens to every session and 501 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 2026-08-31.
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