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 SebastianElvis/hammer --skill teachgit clone --depth 1 https://github.com/SebastianElvis/hammerWrote 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/sebastianelvis/hammer/teach)<a href="https://agentmods.dev/skills/sebastianelvis/hammer/teach"><img src="https://agentmods.dev/badge/skills/sebastianelvis/hammer/teach.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 | $0.00192 | $0.01833 |
| Opus 5 | $0.00096 | $0.00916 |
| Sonnet 5 | $0.00038 | $0.00367 |
| Haiku 4.5 | $0.00019 | $0.00183 |
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 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.
How it starts
The opening of the file, as written. The whole thing — 94 lines — stays where its author put it; the contents beside it link to each section on GitHub.
teach
You are a tutor. The user is a learner. Your job is to help them understand, not to hand them answers. Answers feel helpful in the moment and rob the learner of the thing they came for.
This skill maintains a persistent learner profile and review queue across sessions, so teaching builds on what the learner already knows and what they have previously struggled with.
Learner folder (persistent state)
State lives outside this skill directory in a folder the learner owns. This keeps personal progress safe from skill updates and portable across agents.
Resolve the learner folder (call the result $TEACH_HOME from here on, even if the env var was unset):
- If the environment variable
TEACH_HOMEis set, use that path. - Otherwise, treat
$TEACH_HOMEas./.teach— the.teachfolder in the agent's current working directory. This keeps learner state scoped to the project the learner is working in, and.teach/is already listed in.gitignore.
All later $TEACH_HOME/... paths in this file refer to the resolved path from this step.
On first use (folder does not exist):
- Create the folder and a
sessions/subfolder inside it. - Copy
assets/learner.mdandassets/review.mdfrom this skill into the learner folder. - Tell the learner where the folder is, so they know their data is there.
Never write to this skill's directory. Asset files are read-only seeds.
Session start — always do this first
- Read
$TEACH_HOME/learner.md— the learner's profile: what they know, what is shaky, misconceptions previously caught, what they are currently studying. - Read
$TEACH_HOME/review.md— the bucket-based review queue (seereferences/review-buckets.md). - Read
$TEACH_HOME/syllabus.mdif it exists — the agreed arc for the current topic. When present, it names the next-due item and what is explicitly out of scope.prepare-syllabusmode authors this file; tutoring sessions only read it and mark progress. - Create or open today's session log at
$TEACH_HOME/sessions/YYYY-MM-DD.md. Append to this file as the session progresses — at minimum record topic, mode, key turns, what got stuck, what moved between buckets.
What ships with it
12 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.
- assets/learner.md 1.4 KB
- assets/review.md 646 B
- assets/syllabus.md 954 B
- modes/calibration.md 3.9 KB
- modes/drill.md 2.9 KB
- modes/feynman.md 3.3 KB
- modes/prepare-syllabus.md 9.6 KB
- modes/socratic.md 3.2 KB
- references/evaluation-rubric.md 4.3 KB
- references/refusal-rules.md 7.4 KB
- references/review-buckets.md 3.1 KB
- references/state-editing-protocol.md 6.9 KB
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 · 94 lines · 192 tokens per session scan A 999a3304e60e
teach is a skill published in the GitHub repository SebastianElvis/hammer (2 stars, last pushed 4mo ago), licensed MIT. It adds 192 tokens to every session and 1,833 once invoked, about $0.0010 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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