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/yyz666ai/learning-agent/plan-revisionnpx skills add yyz666ai/Learning-Agent --skill plan-revisiongit clone --depth 1 https://github.com/yyz666ai/Learning-AgentWrote 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/yyz666ai/learning-agent/plan-revision)<a href="https://agentmods.dev/skills/yyz666ai/learning-agent/plan-revision"><img src="https://agentmods.dev/badge/skills/yyz666ai/learning-agent/plan-revision.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 5.1 | $0.00034 | $0.00280 |
| Opus 5 | $0.00017 | $0.00140 |
| Sonnet 5 | $0.00007 | $0.00056 |
| Haiku 4.5 | $0.00003 | $0.00028 |
Grade A, and why
plan-revision 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
学习计划修订
把用户意见转成新的 Plan 版本，同时保留已完成进度。修改计划不是重新建档，也不能把已经完成的章节变回未开始。
执行
- Plan 审阅中，对话输入框中的文字直接视为修改意见；不要求用户先点“调整计划”。读取当前 Plan、用户原话、目标、时间和进度基线。
- 先判断影响范围：节奏、内容深度、练习方式、最终项目或全局路线。
- 只修改必要章节；已完成节点保持完成，当前节点保持可定位。
- 输出完整新 Plan 与
revision_summary，明确增加、删除、提前和推后的内容。 - 将完整新 Plan 重新作为 Agent 对话消息展示；下方仍只有一个确认按钮，用户确认后才替换活动 Plan。
边界
- 不因新增题目重置总进度。
- 目标发生根本变化时建议建立新学习项目，不污染原项目。
- 修订失败继续使用旧版本。
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.
- 5d ago First seen · 23 lines · 34 tokens per session scan A 6b07c5cb3401
plan-revision is a skill published in the GitHub repository yyz666ai/Learning-Agent (1 stars, last pushed 5d ago), licensed MIT. It adds 34 tokens to every session and 280 once invoked, about $0.0002 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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