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 learn-profilegit 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/learn-profile)<a href="https://agentmods.dev/skills/vasanthsreeram/alvarmethod/learn-profile"><img src="https://agentmods.dev/badge/skills/vasanthsreeram/alvarmethod/learn-profile/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/learn-profile"><img src="https://agentmods.dev/badge/skills/vasanthsreeram/alvarmethod/learn-profile.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 | $0.00075 | $0.00436 |
| Opus 5 | $0.00037 | $0.00218 |
| Sonnet 5 | $0.00015 | $0.00087 |
| Haiku 4.5 | $0.00007 | $0.00044 |
Grade A, and why
learn-profile 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
Learn profile
Install how this mind wants to be taught. The file is the teacher. Do not cram style rules into every later prompt.
Interview (one cluster at a time)
- Solid ground — what they already hold thoroughly (subjects, notations).
- Goal — what "done" looks like for the next stretch.
- Pace — default is one reasoning step, then a quiz. Only change if they insist.
- Struggle — they keep the hard thinking; you keep logistics. Ask what kind of problems they want.
- Voice — density, tone, hated LLM habits, language.
- Artifacts — Obsidian / markdown / no files.
Do not ask all six in one message. 2–3 questions per turn, through the harness quiz UI in ../teach/references/quiz-ui.md — not as a markdown list.
Write
Create .alvar/LEARNER.md from assets/LEARNER.md. Use their words where you can. Do not invent hobbies or a persona.
If a file already exists, show a diff of proposed edits and wait.
After
Show the file. Tell them teach will read it every session. Offer to start a probe on the current goal.
What ships with it
1 file 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 · 40 lines · 75 tokens per session scan A 621ffb6b900b
learn-profile is a skill published in the GitHub repository vasanthsreeram/Alvarmethod (152 stars, last pushed 26d ago), licensed MIT. It adds 75 tokens to every session and 436 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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