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 agentmods add skills/dmitriyyukhanov/claude-plugins/learning-guidenpx skills add DmitriyYukhanov/claude-plugins --skill learning-guidegit clone --depth 1 https://github.com/DmitriyYukhanov/claude-pluginsWrote 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/dmitriyyukhanov/claude-plugins/learning-guide)<a href="https://agentmods.dev/skills/dmitriyyukhanov/claude-plugins/learning-guide"><img src="https://agentmods.dev/badge/skills/dmitriyyukhanov/claude-plugins/learning-guide.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 | $0.00095 | $0.00377 |
| Opus 5 | $0.00048 | $0.00188 |
| Sonnet 5 | $0.00019 | $0.00075 |
| Haiku 4.5 | $0.00010 | $0.00038 |
Grade A, and why
learning-guide scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 5d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
Learning Guide — Entry Point
Discoverability shim. Decides whether the user needs to start fresh (analyze) or re-render an existing spec (render).
Decision tree
-
Does a
tour-spec.jsonalready exist at the target path?- Yes → ask the user: re-render only (dispatch
learning-guide:render), update spec (dispatchlearning-guide:analyzein update mode), or regenerate from scratch (dispatchlearning-guide:analyzeafter deleting the spec). - No → dispatch
learning-guide:analyze.
- Yes → ask the user: re-render only (dispatch
-
Does the user want to manually edit
tour-spec.jsonand just re-render?- Confirm Node is on PATH.
- Tell them they can run
node "${CLAUDE_PLUGIN_ROOT}/scripts/render.cjs" tour-spec.jsondirectly. They don't need to invoke any skill for that.
When NOT to use this skill
- The user already invoked
analyzeorrender— let those run. - The user wants help debugging a generated tour — point them at
learning-guide:render's references (renderer-cli.md,browser-compatibility.md).
Output
Always state which skill you're about to dispatch and why, in one sentence, before invoking it.
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.
- 5d ago First seen · 28 lines · 95 tokens per session scan A 237ec07a9d90
learning-guide is a skill published in the GitHub repository DmitriyYukhanov/claude-plugins (7 stars, last pushed 2d ago), licensed MIT. It adds 95 tokens to every session and 377 once invoked, about $0.0005 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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