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-query/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-query)<a href="https://agentmods.dev/skills/iyuenan3/worklog-kit/worklog-query"><img src="https://agentmods.dev/badge/skills/iyuenan3/worklog-kit/worklog-query/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-query"><img src="https://agentmods.dev/badge/skills/iyuenan3/worklog-kit/worklog-query.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 | $0.00083 | $0.00765 |
| Opus 5.5 | $0.00033 | $0.00306 |
| Sonnet 5.5 | $0.00017 | $0.00153 |
| Haiku 4.5 | $0.00008 | $0.00076 |
Grade A, and why
worklog-query 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.
What it actually says
worklog-query：查 X
与用户交互的语言跟随其消息语言。只读：本 skill 不修改任何文件。
检索通道：Obsidian CLI 优先（可选加速）
关键词 / 标签 / 链接类检索先试官方 obsidian CLI（Obsidian app 内置，需 app 在运行）。只用查询型命令（read / search / tags / links / files 等，纯返回数据）；open / daily 这类会把 app 弹到前台，不用。
- 探测：
command -v obsidian存在 → 试跑一条只读命令（如obsidian files），成功且输出确认是本 vault 的文件即可用 - 拉起：探测失败、系统是 macOS 且装有 Obsidian →
open -ga Obsidian（后台启动，不抢焦点），等约 3 秒重试一次探测；用了这条就在最终回答末尾提一句「已后台启动 Obsidian」 - 回退：仍不可用（未装 / 无 GUI / 本 vault 未在 Obsidian 打开注册过）→ 静默走下表 rg / grep 路径，不报错、不追问、本次不再重试
CLI 只是加速通道：回答口径不变（结论带出处），CLI 结果与文件实读不一致时以文件为准。
意图分流与检索路径
| 问法 | 路径 |
|---|---|
| 查某项目（「X 最近怎么样」） | 先读 wiki/projects/<slug>.md（现状 + 决策日志），再按其 frontmatter diaries 数组回读最近几篇相关日记的对应章节 |
| 查时间段（「上周干了什么」） | 按 config 时区换算日期范围（先 export TZ=<config.timezone>），逐读 diaries/<D>.md 的概览与主线，汇总 |
| 查关键词（「关于 Y 的记录」） | 先走 Obsidian 通道（obsidian search 等，见上节）；不可用则 rg -n --glob '!**/.git/**' '<关键词>' diaries/ wiki/ inbox/（无 rg 退 grep -rn；中文字面量加 LC_ALL=C）；命中多时按时间倒序取最相关的深读 |
| 决策溯源（「当初为什么这么定」） | 项目页决策日志 → 对应日期日记的项目章节 → AIREADME/DECISIONS.md，三处交叉 |
回答要求
- 每个结论带出处：
文件:行或日记日期，让用户可跳转核实 - 检索为空就说没查到 + 给出试过的路径，不编造
- 涉及日期与星期的表述先工具换算，不心算
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.
- 2mo ago First seen · 34 lines · 83 tokens per session scan A 91b9fff91874
worklog-query is a skill published in the GitHub repository iyuenan3/worklog-kit (11 stars, last pushed 3mo ago), licensed Apache-2.0. It adds 83 tokens to every session and 765 once invoked, about $0.0003 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-query compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| worklog-queryiyuenan3/worklog-kit | Skill | 11 | 3mo ago | Apache-2.0 | A | 83 | Codex |
| knowledge-ingestopenclaw/openclaw | Skill | 394k | yesterday | MIT | A | 80 | Claude Code, Codex |
| mem0-oss-to-platformmem0ai/mem0 | Skill | 68k | 2d ago | Apache-2.0 | A | 217 | Claude Code, Codex |
| forgetasgeirtj/system_prompts_leaks | Skill | 71k | 2d ago | CC0-1.0 | A | 74 | Claude Code, Codex |
| Cortexdanielmiessler/LifeOS | Skill | 20k | yesterday | MIT | A | 184 | Claude Code |
| memoryopensquilla/opensquilla | Skill | 7.1k | 6d ago | Apache-2.0 | A | 44 | Claude Code, Codex |
| ha-data-storesshiwenwen/hope-agent | Skill | 1.9k | yesterday | MIT | A | 115 | Claude Code, Codex |