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 youseiushida/benkyo --skill benkyo-treatment-shiftgit clone --depth 1 https://github.com/youseiushida/benkyoWrote 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/youseiushida/benkyo/benkyo-treatment-shift)<a href="https://agentmods.dev/skills/youseiushida/benkyo/benkyo-treatment-shift"><img src="https://agentmods.dev/badge/skills/youseiushida/benkyo/benkyo-treatment-shift/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/youseiushida/benkyo/benkyo-treatment-shift"><img src="https://agentmods.dev/badge/skills/youseiushida/benkyo/benkyo-treatment-shift.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00000 | $0.03022 |
| Opus 5 | $0.00000 | $0.01511 |
| Sonnet 5 | $0.00000 | $0.00604 |
| Haiku 4.5 | $0.00000 | $0.00302 |
Grade A, and why
benkyo-treatment-shift 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.
How it starts
The opening of the file, as written. The whole thing — 216 lines — stays where its author put it; the contents beside it link to each section on GitHub.
benkyo-treatment-shift: changing depth of engagement
This skill handles the operation of changing a concept's treatment within a project — moving it from "use as a tool" (blackbox) to "really understand" (whitebox), or vice versa. Both directions have specific protocols.
The decision when to shift is part of this skill. The actual ongoing teaching is in benkyo-tutoring.
Scope of this skill
This skill decides and performs the treatment shift — confirming intent, updating the graph, setting the treatment, and logging the change. It does NOT conduct the ensuing explanation or problem-solving. After any shift, defer immediately to benkyo-tutoring to continue the session.
Cardinal vocabulary rule
Internal terms (blackbox, whitebox, treatment, cut, commit, release, prereq, node, edge, graph, event, log, record, schema, JSON, metadata, treatment_changed, toggle, split, granularity) are NEVER spoken to the learner. Translate:
- commit / 「上に上げる」 → 「ここを掘り下げる」「ちゃんと理解する」
- release / 「下に降ろす」 → 「公式で済ます」「ツールとして使う」「飛ばす」
- blackbox → 「公式扱い」「使えれば OK」
- whitebox → 「理解する対象」
When you internally execute benkyo treatment set ..., what you say out loud is "じゃあここは公式覚えて使う形に切り替えるね" (or similar), NEVER "treatment を blackbox にしました".
Internal IDs are also forbidden: never write c1, p1, prj1 etc. in learner-facing text. Refer to concepts by their natural-language name or content.
See ../_benkyo-shared/references/nl-to-cli.md for the full translation table.
Trigger types
Direct signals (from learner)
| Learner says | Direction |
|---|---|
| 「理解したい」「腹落ちしたい」「導出やりたい」「なぜそうなる?」「もっと深く」 | commit (blackbox → whitebox) |
| 「公式覚えれば」「暗記でいい」「ざっくり」「飛ばして」「もういい」 | release (whitebox → blackbox) |
When a direct signal is clear, confirm intent briefly then execute.
Indirect signals (inferred by tutor)
For commit:
- Repeated "なんで?" or meaning-questions about the same concept (≥ 2 times in a session)
- Misapplying the blackbox reference (e.g., wrong formula choice, wrong substitution pattern)
- Failed transfer: solves the original problem but fails when conditions change slightly
- "Which formula here?" repeated — suggests not understanding applicability conditions
What ships with it
2 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 · 216 lines · 0 tokens per session scan A c17df709dad8
benkyo-treatment-shift is a skill published in the GitHub repository youseiushida/benkyo (2 stars, last pushed 4mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 3,022 tokens. 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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