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/worklog-init/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/worklog-init)<a href="https://agentmods.dev/skills/iyuenan3/worklog-kit/worklog-init"><img src="https://agentmods.dev/badge/skills/iyuenan3/worklog-kit/worklog-init/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/worklog-init"><img src="https://agentmods.dev/badge/skills/iyuenan3/worklog-kit/worklog-init.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 | $0.00110 | $0.03957 |
| Opus 5.5 | $0.00044 | $0.01583 |
| Sonnet 5.5 | $0.00022 | $0.00791 |
| Haiku 4.5 | $0.00011 | $0.00396 |
Grade A, and why
worklog-init scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 139 lines — stays where its author put it; the contents beside it link to each section on GitHub.
worklog-init:vault 初始化向导
你是 worklog vault 的初始化向导。与 ingest 相反,本 skill 是交互式的:这是用户唯一一次需要坐在屏幕前配置的环节,每一步都可以提问确认。与用户交互使用用户的语言(跟随其消息语言)。
前置与安全
- 只在 worklog-kit 模板仓(根目录有
worklog.config.yaml+wiki/+diaries/)里运行;不在则说明并退出。 - 重跑安全:config 含
initialized_at字段(Step 3 写入的初始化标记)→ 进入「更新模式」,只改用户点名的项;绝不整文件覆盖已配置的 config、绝不覆盖用户改过的骨架文件。 - 本 skill 不做任何网络拉取(三件套随模板自带);只在 visibility 检测与鉴权预检时调用 gh / git 远端命令。
流程(9 步,顺序执行;Step 8 与 Step 9 可选)
Step 1 · 环境预检
逐项检查并汇总成一张表(✅ / ⚠️ / ❌):
uname -s # Darwin / Linux 通过;其它(原生 Windows)→ ❌ 终止并说明仅支持 macOS / Linux
grep -qi microsoft /proc/version 2>/dev/null && echo WSL # uname 区分不了 WSL;命中 → ⚠️ 标注「WSL 实验性支持」
git config --get user.name; git config --get user.email # 缺 → 引导设置(commit 必需)
git remote -v # 无 remote → ⚠️ 提示先建私有远端(无人值守 push 需要)
BRANCH=$(git branch --show-current); test -n "$BRANCH" && git push --dry-run origin "HEAD:refs/heads/$BRANCH" # 真正验证 push 权限,仅当上一步检测到 remote 才跑;失败 → 给 SSH key / gh auth 两条修复路径
command -v gh && gh auth status # 无 gh 或未认证 → ⚠️(visibility 检测与 github 源需要;修复命令 gh auth login,可后补)
command -v python3 # 无 → ⚠️(lint 与部分脚本需要)
command -v uv || command -v uvx # 无 → ⚠️(素材摄入 markitdown 需要;可后补)
❌ 项修完再继续;⚠️ 项记入收尾报告,不阻塞。
Step 2 · 仓库 visibility 检测(隐私第一道闸)
bash .agents/skills/worklog-ingest/scripts/repo-visibility.sh # 零参数,只读查询当前仓 remote
- 结果非
private→ 红色警告并暂停:日记与 wiki 将包含你的工作细节,必须先到仓库 Settings 改为 Private 再继续。用户明确表示接受公开风险才可跳过(记入报告)。 - 无 gh / 无 remote → 提醒「无法自动检测,请自行确认私有」并记入报告。
Step 3 · 生成 config(问「你的工作都发生在哪」)
交互收集后整体展示一遍再写入 worklog.config.yaml:
- 语言
language:zh / en(决定骨架 locale 与写作规范) - 时区
timezone与 日期分割线day_boundary(解释:凌晨工作归前一天的分界,按作息选,默认 07:00) - 身份
identities:从git config --get user.email预填,追问「还有别的 commit 署名 email 吗(公司邮箱等)」 - 数据源
sources,逐类问:- 本机项目都在哪些目录 / 硬盘?→
local-git.roots(多硬盘 = 多 root;提示:给具体的项目父目录而非家目录,自动发现深度有限且不跟随符号链接) - 有 GitHub / GitLab 账号且工作会 push 上去吗?→
github/gitlab源(gitlab 连接器尚未实现:config 会保留,ingest 暂跳过并记一句,如实告知) - 有「工作不经过托管平台」的远程机器吗?→
remote-ssh(提示连通性文档,推荐 Tailscale);必追问「那台机器上项目都在哪些目录」写进该源roots(ingest 要把 scan.sh 发到远端跑,没有 roots 无从扫起) - 用飞书等 IM 协调工作吗?→
im源(提示:Feishu 与 lark-cli 完全选配且默认同机执行;需另跑 feishu-setup 完成认证、生成 gitignored 作用域并逐项同意读取范围;默认只记你自己发的消息) - 有不用 git 的项目目录(写作 / 设计)吗?→
local-dir显式声明(活动感知默认只看 4 层深,按 客户/年/项目 组织的深目录建议给该条目配depth:键) - 是否同意把 Agent 记忆作为只读证据源?→ 检测并逐项展示 Codex
~/.codex/memories、Claude~/.claude/projects/*/memory{,.pre-*}、stash~/.local/share/project-memory/*/memory等候选,用户同意的才写成agent-memory条目。每条含匹配[a-z0-9][a-z0-9._-]*的稳定name、paths与可选optional: true;路径支持单文件、目录或 glob。Qoder、Cursor 等其他工具只接受用户给出的路径或官方文档、本机实测确认的长期记忆路径,不根据应用目录名猜测,不把命令、规则、索引或缓存目录冒充长期记忆。说明扫描仅按 mtime 选候选文件,内容仍按来源隔离读取,不复制、不合并、不回写
- 本机项目都在哪些目录 / 硬盘?→
What ships with it
23 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.
- agents/openai.yaml 226 B
- scripts/discover.sh 4.4 KB runs code
- templates/GETTING_STARTED.en.md 1.7 KB
- templates/GETTING_STARTED.zh.md 1.6 KB
- templates/locale/en/AGENTS.md 4.2 KB
- templates/locale/en/AIREADME/ARCHITECTURE.md 2.7 KB
- templates/locale/en/AIREADME/CHANGELOG.md 277 B
- templates/locale/en/AIREADME/CONVENTIONS.md 6.3 KB
- templates/locale/en/AIREADME/CORE.md 768 B
- templates/locale/en/AIREADME/DECISIONS.md 369 B
- templates/locale/en/AIREADME/DEPLOYMENT.md 241 B
- templates/locale/en/AIREADME/INDEX.md 1.1 KB
- templates/locale/en/AIREADME/MEMORY.md 170 B
- templates/locale/en/AIREADME/PRD.md 172 B
- templates/locale/en/AIREADME/RELATIONS.md 629 B
- templates/locale/en/AIREADME/ROADMAP.md 192 B
- templates/locale/en/AIREADME/SPEC.md 201 B
- templates/locale/en/CLAUDE.md 9 B
- templates/locale/en/wiki/index.md 443 B
- templates/locale/en/wiki/log.md 255 B
- templates/locale/en/wiki/projects/.gitkeep 0 B
- templates/locale/en/wiki/todos.md 1.2 KB
- templates/locale/en/worklog.config.yaml 4.3 KB
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 · 139 lines · 110 tokens per session scan A 3acdd898dcf7
worklog-init is a skill published in the GitHub repository iyuenan3/worklog-kit (11 stars, last pushed 3mo ago), licensed Apache-2.0. It adds 110 tokens to every session and 3,957 once invoked, about $0.0004 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.
worklog-init compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| worklog-initiyuenan3/worklog-kit | Skill | 11 | 3mo ago | Apache-2.0 | A | 110 | Codex |
| orbit-notionnexu-io/open-design | Skill | 106k | yesterday | Apache-2.0 | A | 117 | Claude Code, Codex |
| agentmailpaperclipai/paperclip | Skill | 111k | yesterday | MIT | A | 30 | Claude Code, Codex |
| Cortexdanielmiessler/LifeOS | Skill | 20k | yesterday | MIT | A | 184 | Claude Code |
| rowboat-spacesrowboatlabs/rowboat | Skill | 18k | yesterday | Apache-2.0 | A | 60 | Claude Code, Codex |
| feishuHmbown/CodeWhale | Skill | 41k | 5d ago | MIT | A | 33 | Claude Code, Codex |
| pinchtab-mcppinchtab/pinchtab | Skill | 11k | 10d ago | MIT | A | 52 | Claude Code, Codex |