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 probegit 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/probe)<a href="https://agentmods.dev/skills/vasanthsreeram/alvarmethod/probe"><img src="https://agentmods.dev/badge/skills/vasanthsreeram/alvarmethod/probe/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/probe"><img src="https://agentmods.dev/badge/skills/vasanthsreeram/alvarmethod/probe.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 | $0.00070 | $0.00587 |
| Opus 5.5 | $0.00028 | $0.00235 |
| Sonnet 5.5 | $0.00014 | $0.00117 |
| Haiku 4.5 | $0.00007 | $0.00059 |
Grade A, and why
probe 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 1mo 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
Probe
Measure first. Do not teach during a probe except a one-line correction after they answer.
Quiz UI is mandatory. Read ../teach/references/quiz-ui.md and call that tool. Never print A/B/C/D in the chat.
Goal
Produce .alvar/maps/<slug>.md that labels every dependency strand:
known | edge | unknown | blocked
blocked = they said they don't know, or the question needs a tool you don't have.
How to ask
- 1–3 multiple-choice questions per turn. Wait.
- Always include D. I don't know (or an extra "I don't know" option).
- Start wide (what kind of object is this? what does this operator measure?). Then split the strand that the answer leaves ambiguous.
- If they already listed solid ground, skip those strands.
- Invite a talk-through: a wrong reason + right letter is
edge, notknown.
One right answer. No trick options that hinge on wording. Put I don't know as an option. Do not mark the correct choice recommended.
Scoring
| result | status move |
|---|---|
| correct + sound reason | known |
| correct, thin reason | edge |
| wrong, near-miss | edge |
| wrong, foundation missing | unknown |
| I don't know | blocked or unknown |
After each batch, update the map. Stop when the upcoming lesson's dependencies are all labeled — not when you have asked "enough questions."
Map file
# Map — <goal>
Updated: <ISO date>
Goal: <one sentence>
## Strands
| strand | status | evidence |
|--------|--------|----------|
| … | known | Q2 + reason |
## Quiz log
- Q1 [strand] <letter> — correct|wrong|idk — <five words>
End
Show the table. Say which strands a teacher should start from. Do not start the lesson unless they ask.
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.
- 1mo ago First seen · 72 lines · 70 tokens per session scan A 426ee202f851
probe is a skill published in the GitHub repository vasanthsreeram/Alvarmethod (164 stars, last pushed 2d ago), licensed MIT. It adds 70 tokens to every session and 587 once invoked, about $0.0003 per session on Opus 5.5. 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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