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 LiPu-jpg/Openwrite --skill learngit clone --depth 1 https://github.com/LiPu-jpg/OpenwriteWrote 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/lipu-jpg/openwrite/learn)<a href="https://agentmods.dev/skills/lipu-jpg/openwrite/learn"><img src="https://agentmods.dev/badge/skills/lipu-jpg/openwrite/learn/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/lipu-jpg/openwrite/learn"><img src="https://agentmods.dev/badge/skills/lipu-jpg/openwrite/learn.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 | $0.00056 | $0.00329 |
| Opus 5 | $0.00028 | $0.00164 |
| Sonnet 5 | $0.00011 | $0.00066 |
| Haiku 4.5 | $0.00006 | $0.00033 |
Grade A, and why
learn 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 yesterday.
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
写法记忆
接到已有 novel_*。风格、成功钩子和作者偏好是当前 Workspace 作品资产，不是会话本地文件，也不是第二套 RAG / lorebook。
读取
novel_status确认当前作品。- 风格与提取源：
novel_source_action（status_v2/profile_v2）。 - 已登记钩子：
novel_assets_list，必要时novel_asset_read。
没有 Workspace（session cwd 缺失）时这些工具返回 WORKSPACE_CONTEXT_MISSING，不要改写全局或别的项目。
写入（预览/确认）
- 作者偏好、必须保留/避免：
novel_structured_change_plan(change_kind="focus")。 - 成功钩子与可复用写法：
novel_source_actionextract/review，晋升用promote_v2且作者确认后confirm: true；登记为资产时用novel_structured_change_plan(change_kind="asset")。 - 普通讨论不得写入。
细则见 style-system。不要另建记忆文件。
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.
- yesterday First seen · 25 lines · 56 tokens per session scan A fcfed330ebb1
learn is a skill published in the GitHub repository LiPu-jpg/Openwrite (709 stars, last pushed today), licensed Apache-2.0. It adds 56 tokens to every session and 329 once invoked, about $0.0003 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 2026-09-09.
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