Borrowing it
Nothing to install: this file belongs to impierce/ssi-agent. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/impierce/ssi-agent/beta/.agents/skills/teach/SKILL.mdgit clone --depth 1 https://github.com/impierce/ssi-agentWrote 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/impierce/ssi-agent/teach)<a href="https://agentmods.dev/skills/impierce/ssi-agent/teach"><img src="https://agentmods.dev/badge/skills/impierce/ssi-agent/teach/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/impierce/ssi-agent/teach"><img src="https://agentmods.dev/badge/skills/impierce/ssi-agent/teach.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 | $0.00015 | $0.01779 |
| Opus 5.5 | $0.00006 | $0.00712 |
| Sonnet 5.5 | $0.00003 | $0.00356 |
| Haiku 4.5 | $0.00002 | $0.00178 |
Grade A, and why
teach 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 2d 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.
This is a copy
84% identical to teach — 17 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 132 lines — stays where its author put it; the contents beside it link to each section on GitHub.
The user has asked you to teach them something. This is a stateful request - they intend to learn the topic over multiple sessions.
Teaching Workspace
Treat the current directory as a teaching workspace. The state of their learning is captured in this directory in several files:
MISSION.md: A document capturing the reason the user is interested in the topic. This should be used to ground all teaching. Use the format in MISSION-FORMAT.md../reference/*.html: A directory of reference materials. These are the compressed learnings from the lessons - cheat sheets, reference algorithms, syntax, yoga poses, glossaries. They are the raw units of learning. They should be beautiful documents which print out well, and are designed for quick reference.RESOURCES.md: A list of resources which can be explored to ground your teaching in contextual knowledge, or to acquire knowledge and wisdom. Use the format in RESOURCES-FORMAT.md../learning-records/*.md: A directory of learning records, which capture what the user has learned. These are loosely equivalent to architectural decision records in software development - they capture non-obvious lessons and key insights that may need to be revised later, or drive future sessions. These should be used to calculate the zone of proximal development. They are titled0001-<dash-case-name>.md, where the number increments each time. Use the format in LEARNING-RECORD-FORMAT.md../lessons/*.html: A directory of lessons. A lesson is a single, self-contained HTML output that teaches one tightly-scoped thing tied to the mission. This is the primary unit of teaching in this workspace.NOTES.md: A scratchpad for you to jot down user preferences, or working notes.
Philosophy
To learn at a deep level, the user needs three things:
- Knowledge, captured from high-quality, high-trust resources
- Skills, acquired through highly-relevant interactive lessons devised by you, based on the knowledge
- Wisdom, which comes from interacting with other learners and practitioners
What ships with it
4 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 2d ago First seen · 132 lines · 15 tokens per session scan A d36496c90da9
teach is a skill published in the GitHub repository impierce/ssi-agent (21 stars, last pushed 3d ago), licensed Apache-2.0. It adds 15 tokens to every session and 1,779 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 84% identical to teach, differing in 17 lines, and is treated as a copy.
Other skills, from other repositories
digitales-bildungswesen-schulverwaltung-pruefung
Prueft den Digitalisierungsstand von Schulverwaltungsprozessen eines Schultraegers bzw. einer Kommune zum Beispiel Schulanmeldung Lernplattform-Anbindung und Schulverwaltungssoftware. Methodik Sachverhaltsaufbereitung Einordnung Anforderungen Umsetzungsschritte Ergebnis. Output ausformulierte Pruefung mit Ergebnis zum…
weiterbildung-kompetenzbedarf-analyse
Analyse des Kompetenzbedarfs und Erstellung eines Weiterbildungsplans fuer Verwaltungsmitarbeitende bei Einfuehrung neuer digitaler Verfahren. Methodik Soll-Ist-Abgleich Zielgruppenbildung Qualifizierungsformate Erfolgskontrolle. Output ausformulierter Weiterbildungsplan mit Zeitschiene.
hr-onboarding
A new-hire onboarding plan as a single page — first week schedule, buddy + manager intro, learning track, equipment checklist, and "you're set when…" outcomes. Use when the brief mentions "onboarding", "new hire", "first week plan", or "入职".
book-mirror
Take any book (EPUB/PDF), produce a personalized chapter-by-chapter analysis. Each chapter is preserved in detail (The Chapter) and mirrored back to the reader's actual life (The Mirror) using brain context. The mirror observes and resonates — a friend pointing out parallels, NOT a consultant rearranging the reader's…
exam-forecast
Analyze past exams from the same professor to surface patterns — subject weighting, recurring issue-spot traps, favored hypo types, policy-vs-doctrine mix — and forecast likely emphases for the upcoming exam. Use when the user says "what's on the exam", "analyze past exams", "predict the exam", or shares past exams.
miniapp
Build a tiny interactive HTML playground only when someone asks to see, play with, or step through a mechanism.