Borrowing it
Nothing to install: this file belongs to ZhuoZhuoCrayon/ai-workspace. 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/ZhuoZhuoCrayon/ai-workspace/main/.agents/skills/knowledge-mgr/SKILL.mdgit clone --depth 1 https://github.com/ZhuoZhuoCrayon/ai-workspaceWrote 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/zhuozhuocrayon/ai-workspace/knowledge-mgr)<a href="https://agentmods.dev/skills/zhuozhuocrayon/ai-workspace/knowledge-mgr"><img src="https://agentmods.dev/badge/skills/zhuozhuocrayon/ai-workspace/knowledge-mgr/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/zhuozhuocrayon/ai-workspace/knowledge-mgr"><img src="https://agentmods.dev/badge/skills/zhuozhuocrayon/ai-workspace/knowledge-mgr.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00171 | $0.01355 |
| Opus 5.5 | $0.00068 | $0.00542 |
| Sonnet 5.5 | $0.00034 | $0.00271 |
| Haiku 4.5 | $0.00017 | $0.00136 |
Grade A, and why
knowledge-mgr 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 14d 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 — 113 lines — stays where its author put it; the contents beside it link to each section on GitHub.
knowledge-mgr — 知识管理
管理工作区知识对象的检索与全生命周期操作。
0x00 术语介绍
知识对象：issue、plan、snippet、article、troubleshooting 的统称。
0x01 索引模型
工作区知识索引采用三级结构：
| 层级 | 路径 | 职责 |
|---|---|---|
| 一级 | knowledge/INDEX.md |
项目知识概览与最近更新 |
| 二级 | knowledge/<project>/INDEX.md |
项目内分类概览 |
| 三级 | knowledge/<project>/<category>/INDEX.md |
具体对象列表 |
知识对象脱敏隔离（visibility）：
- 【默认】【公开】
public：所有知识对象都存放在knowledge/下，公开可见。 - 【私有】
private：涉及个人隐私或敏感信息的知识对象存放在private/knowledge/下。private/是独立的私有仓库，在该目录内提交和推送。 - public / private 分域维护，不跨域合并计数与索引。
0x02 对象模型
a. 分类索引
所有知识对象均归属于项目，存放在 knowledge/<project>/ 下：
| 对象 | 位置 | 逻辑单元 | 说明 |
|---|---|---|---|
| issue | issues/<YYYY-MM-DD-title>/README.md |
issue 目录 [1] | 需求定义入口 |
| plan | issues/<YYYY-MM-DD-title>/PLAN.md |
隶属 issue 目录 | 方案、调研、进展与验收记录 |
| snippet | snippets/<title>.md |
单文件 | 代码片段类知识对象 |
| article | articles/<YYYY-MM-DD-title>/README.md |
article 目录 [2] | 主题文章与信息归档 |
| troubleshooting | troubleshooting/<title>.md |
单文件 | 排障经验类知识对象 |
- [1] issue 是目录级逻辑单元，
README.md + PLAN.md = 1个知识对象，plan 不单独入索引，仅由 issue 条目代表整个 issue 目录。 - [2] article 是目录级逻辑单元，正文放在
README.md，配图等资源放在同目录的images/下。
b. 知识对象规范
Frontmatter 规范
知识对象必须包含 frontmatter，字段信息如下：
| 字段 | 必填 | 适用对象 | 说明 |
|---|---|---|---|
| title | 是 | 全部 | 文档标题 |
| tags | 是 | 全部 | 标签数组，如 [k8s, ops] |
| description | 是 | 全部 | 一句话摘要 |
| language | 否 | snippet | 代码语言 |
| issue | 否 | plan | 关联 issue 路径 |
| created | 是 | 全部 | 创建日期，YYYY-MM-DD |
| updated | 是 | 全部 | 最后更新日期，YYYY-MM-DD |
What ships with it
11 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.
- evals/evals.json 7.5 KB
- references/article-writing.md 842 B
- references/index-maintenance.md 2.1 KB
- references/issue-writing.md 2.8 KB
- references/operations.md 1.9 KB
- references/plan-example.md 16 KB
- references/plan-writing.md 27 KB
- references/retrieval.md 1.7 KB
- references/snippet-writing.md 3.0 KB
- references/templates.md 3.0 KB
- references/troubleshooting-writing.md 3.2 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.
- 14d ago Changed ad5617b76f00
- 2mo ago First seen · 113 lines · 171 tokens per session scan A 22ce10772495
knowledge-mgr is a skill published in the GitHub repository ZhuoZhuoCrayon/ai-workspace (27 stars, last pushed today), licensed MIT. It adds 171 tokens to every session and 1,355 once invoked, about $0.0007 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.
Other skills, from other repositories
Migrate
Intakes external content (notes, CLAUDE.md, Cursor rules, Obsidian/Notion/Apple Notes exports), classifies chunks against the LifeOS taxonomy, and commits with provenance after confidence-tiered approval. USE WHEN /migrate, migrate content, import from other LifeOS, bring in old notes, import Cursor rules, import…
Cortex
LifeOS memory, prior-session recall, and learning capture. USE WHEN capture this learning, document this learning, what did we learn recently, recent learnings, cortex, knowledge, knowledge base, search knowledge, what do we know about, archive, harvest, knowledge status, develop note, add to knowledge, add a people…
Profile
View, edit, or clear the LifeOS User Model (PRINCIPALIDENTITY.md) — persistent identity context loaded at session startup. Three intents: View, Edit (identity, goals, constraints, preferences), Clear (reset). Read by Algorithm OBSERVE and skills for personalization. USE WHEN profile, show profile, view profile, who am…
wiki-dashboard
Create dynamic, queryable Obsidian dashboard views using Bases or Dataview. Use for auto-updating tables, indexes, or structured views of vault content; not for ordinary question answering.
relevance-coarse-filter
Cheap, high-recall first-pass filter that removes obvious junk from a detector candidate pool before expensive story-origin research and PR judgment. Decides keep, monitoronly, or reject — never ranks, writes angles, verifies dates, or decides whether to pitch.
session-compact
AI DevKit · Compact a historical AI coding session with Jev when context is long, work is handed off or resumed, or durable continuation facts and memory candidates need extraction.