Borrowing it
Nothing to install: this file belongs to iyuenan3/worklog-kit. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/iyuenan3/worklog-kit/main/.agents/skills/aireadme/SKILL.mdgit clone --depth 1 https://github.com/iyuenan3/worklog-kitWrote 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/iyuenan3/worklog-kit/aireadme)<a href="https://agentmods.dev/skills/iyuenan3/worklog-kit/aireadme"><img src="https://agentmods.dev/badge/skills/iyuenan3/worklog-kit/aireadme/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/iyuenan3/worklog-kit/aireadme"><img src="https://agentmods.dev/badge/skills/iyuenan3/worklog-kit/aireadme.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 | $0.00128 | $0.02082 |
| Opus 5.5 | $0.00051 | $0.00833 |
| Sonnet 5.5 | $0.00026 | $0.00416 |
| Haiku 4.5 | $0.00013 | $0.00208 |
Grade A, and why
aireadme scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 75 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AIREADME:AI 原生跨项目文档体系
为每个项目维护一个 AIREADME/ 文件夹,作为该项目的 AI 真相源:
- 跨项目了解:别的项目读
../<proj>/AIREADME/理解本项目的架构、部署和契约。 - 防偏差:本项目 agent 读 CORE、DECISIONS、ARCHITECTURE,避免实现偏航。
逐文件“写什么 / 不写什么 / 何时更新 / 哪些 N/A”的完整规范在 references/STANDARD.md。执行任何模式前必须完整读取它。
模式
| 现状 / 触发 | 模式 |
|---|---|
项目无 AIREADME/ |
init |
已有 AIREADME/ |
update |
| “检查 / lint” | check |
init 流程
- 先把目标项目根解析为
ROOT=$(git rev-parse --show-toplevel 2>/dev/null || pwd),后续扫描、创建和检查都锚定ROOT,不能因为从子目录触发就在子目录新建 AIREADME。再读references/STANDARD.md,取得 12 文件规范、边界表、项目类型 N/A 矩阵和占位规范。 - 判项目类型(code / infra / docs·meta / product)。monorepo 仍只在仓库根维护一份 AIREADME;子 app / 包作为组件写入 ARCHITECTURE。
- 摸清本项目:
- 扫 repo 结构(浅层优先,排除
node_modules/、vendor/、upstream/等 vendored 目录)、README.md、docs/和已有 PRD / SPEC / INFRA / ROADMAP / OPS / USAGE / ARCHIVE。 - 扫配置与控制面:
package.json、Cargo.toml、docker-compose.yml、.env.example、AGENTS.md;若有CLAUDE.md,把它作为 Claude Code 控制入口一起读。 - 读
git log --oneline -20、git tag和最新 commit SHA。无任何 commit 时使用pre-code哨兵,并遵守 Step 7 的首 commit 保护。 - 可选读取项目记忆,优先级如下:
- repo 内更具体的记忆 skill /
AGENTS.md明示的真相源; - 显式配置的
PROJECT_MEMORY_DIR; $stash的 canonical 项目记忆目录,可运行bash ~/.agents/skills/stash/scripts/resolve-memory-dir.sh定位。 历史 Codex 或 Claude memory 不作为自动 fallback。只有用户明确要求迁移或对账时,才把指定历史路径作为只读来源单独检查,不复制、不合并、不软连接到 stash。 读取MEMORY.md索引和与当前任务相关的条目;不要假设 Codex 会自动注入这些文件。目录不存在是正常情况。
- repo 内更具体的记忆 skill /
- 若立项时跑过 pm-skills,长稿是临时草稿;按 STANDARD 把结论蒸馏进 CORE + PRD 后即弃,不另建平行文档。
- 扫 repo 结构(浅层优先,排除
- 已有文档按内容定归属,不按文件名。重叠内容标记“蒸馏迁入”,例外内容标记“指向 / 保留”,绝不复制。vendored / 上游目录不吸收其 README、AGENTS、CLAUDE、LICENSE;只在 ARCHITECTURE 记录依赖和指针,并清除敏感上游身份。
- 从
assets/template/AIREADME/复制骨架到项目根AIREADME/,逐文件按 STANDARD 填写:- 无内容时写语义占位:将放什么、为何空、当前已知状态;不要留裸 TODO。
- 导入即去链:项目内
[[wikilink]]要迁入内容或改成纯文本;真正的其他项目改为../<proj>/AIREADME/;格式占位示例可原样保留。
- RELATIONS 的跨项目出向依赖统一指向
../<proj>/AIREADME/。共享底座写在属主项目根 AIREADME,消费方只指向属主。 - 把所有破坏性动作合并成一次确认门,等用户确认后才执行:
- 待
git rm的根文档清单;确认内容已迁妥且 Git 历史可恢复。 AGENTS.md:若已是薄 router,只提议补维护责任;若臃肿,给 80–150 行 router 的 diff 预览。CLAUDE.md:只保留 Claude Code 必需的入口,推荐软链接到共用 router;如果要同步或瘦身,同样给 diff 预览,不自动改。- 无 commit 项目必须先建立用户确认的 baseline commit,再做
git rm。commit 本身也不自动执行。
- 待
- 写 INDEX 同步锚点:
last-synced: <commit SHA> · <date>独占一行。SHA 表示“最后一次已审阅并被本轮 AIREADME 覆盖的项目内容提交”。实现 / 配置变更应先形成 commit,再用该 HEAD 写锚点;AIREADME 自身随后单独提交,drift 会忽略只改AIREADME/的文档 commit。不要把尚未提交的内容与 AIREADME 混成一个无法自指 SHA 的 commit。唯有确无 commit 才用pre-code;出现首个真实内容 commit 后,下次 update 必须翻成真 SHA。 - 运行
scripts/check.sh。🔴 exit 1 必修;🟡 exit 0 是 advisory。报告创建、实填、占位、迁入、指向、待删根、兼容控制面和共享底座处理结果。
What ships with it
17 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.
- .gitignore 10 B
- agents/openai.yaml 206 B
- assets/template/AIREADME/ARCHITECTURE.md 374 B
- assets/template/AIREADME/CHANGELOG.md 324 B
- assets/template/AIREADME/CONVENTIONS.md 300 B
- assets/template/AIREADME/CORE.md 545 B
- assets/template/AIREADME/DECISIONS.md 320 B
- assets/template/AIREADME/DEPLOYMENT.md 566 B
- assets/template/AIREADME/INDEX.md 1.1 KB
- assets/template/AIREADME/MEMORY.md 260 B
- assets/template/AIREADME/PRD.md 786 B
- assets/template/AIREADME/RELATIONS.md 458 B
- assets/template/AIREADME/ROADMAP.md 329 B
- assets/template/AIREADME/SPEC.md 487 B
- LICENSE 11 KB
- references/STANDARD.md 12 KB
- scripts/check.sh 9.8 KB runs code
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.
- 2mo ago First seen · 75 lines · 128 tokens per session scan A 9403489cfd57
aireadme is a skill published in the GitHub repository iyuenan3/worklog-kit (11 stars, last pushed 3mo ago), licensed Apache-2.0. It adds 128 tokens to every session and 2,082 once invoked, about $0.0005 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.
aireadme compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| aireadmeiyuenan3/worklog-kit | Skill | 11 | 3mo ago | Apache-2.0 | A | 128 | Codex |
| imagegenopenai/codex | Skill | 133k | yesterday | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 99k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | 4d ago | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 313k | 3d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 95 | Claude Code |
| next-partial-prefetching-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 103 | Claude Code |