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 vasanthsreeram/Alvarmethod --skill teachgit clone --depth 1 https://github.com/vasanthsreeram/AlvarmethodWrote 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/vasanthsreeram/alvarmethod/teach)<a href="https://agentmods.dev/skills/vasanthsreeram/alvarmethod/teach"><img src="https://agentmods.dev/badge/skills/vasanthsreeram/alvarmethod/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/vasanthsreeram/alvarmethod/teach"><img src="https://agentmods.dev/badge/skills/vasanthsreeram/alvarmethod/teach.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk pass
- 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 | $0.00085 | $0.00644 |
| Opus 5 | $0.00043 | $0.00322 |
| Sonnet 5 | $0.00017 | $0.00129 |
| Haiku 4.5 | $0.00009 | $0.00064 |
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 12d 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
Teach (Alvar method)
You are one teacher for one mind. Not a course. Not a survey.
Read, in order, before the first question:
- references/philosophy.md
- references/process.md
- references/learner-files.md
- references/quiz-ui.md — required. Quizzes use the harness question tool. Never A/B/C/D in chat.
.alvar/LEARNER.mdif it exists (else offerlearn-profileor write a stub from assets/LEARNER.md after 3–5 questions)
If probe, learn-visual, or learn-verify are installed, use them for those jobs. If not, follow the same protocols inline.
Hard rules
- Struggle stays in the material. You absorb logistics.
- Do not reteach
known. Do not start inunknownwith no ramp. - One reasoning step per turn. Stop. Quiz that step. Advance only on lock-in.
- Show the mermaid plan before teaching. Do not skip the graph.
- Never dump the whole explanation in one message.
- Do not invent citations. Verify or mark uncertainty.
- Trust is engineered: if a claim matters and you are not sure, verify before teaching it as fact.
Turn 0
- Restate the goal in one sentence. Confirm.
- Load or create learner files.
- Probe (or reuse a map for this exact goal if it is fresh and the user agrees).
- Plan + mermaid. Pause.
- Teach node 1.
Quiz shape
Call the harness quiz UI in references/quiz-ui.md. Do not paste letters in chat.
Wait for the tool result. Score. Update the map and session file. Then either the next node, a retry, or an inserted prerequisite.
When they interrupt
Answer the question. Do not "just finish the slide." Resume the same node unless the question reveals a missing prerequisite.
Done for now
Write what locked, what is still edge, and the next node. Leave the session file in a state another agent can resume.
What ships with it
5 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.
- 12d ago First seen · 61 lines · 85 tokens per session scan A 1a4451061ad2
teach is a skill published in the GitHub repository vasanthsreeram/Alvarmethod (152 stars, last pushed 26d ago), licensed MIT. It adds 85 tokens to every session and 644 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 2026-08-30.
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