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CD personal-wiki

个人知识库（LLM Wiki）操作 skill。 当用户提到以下意图时触发： - Ingest：处理新内容、更新知识库、"处理IMA新内容"、"处理印象笔记"、"处理raw里的文件"、"帮我ingest" - Query：查 wiki、"wiki里有没有关于XX"、"从知识库里找XX" - Lint：整理wiki、"检查知识库"、"清理一下wiki" - Visualize：可视化知识图谱、"看看wiki长什么样"、"生成关系图"、"知识库图谱" - Demo生成：基于 Demo Script 生成定制版本、"帮我做一个XX客户的demo"

ClawHub Agent Skills author: heavenchenggong v1.1.0 MIT-0 8 files · 4 scripts body ≈ 2 594 tokens Open the sourceclawhub.ai↗ analyzed 6 d ago

个人知识库（LLM Wiki）操作 skill。 当用户提到以下意图时触发： - Ingest：处理新内容、更新知识库、"处理IMA新内容"、"处理印象笔记"、"处理raw里的文件"、"帮我ingest" - Query：查 wiki、"wiki里有没有关于XX"、"从知识库里找XX" -…

As a process D 37/100 · Unfinished process — References files that are not bundled: path.md, 来源类型

AnalyzerPowerPointWordSoftware developmenttype and topics are labelled automatically from the skill text
Runs in: OpenClaw Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) Goose OpenCode
JSON
Technical rating
C
87/100
safety, quality, tests
Safety 60%
100
Quality 40%
68
Run on models
none yet
Process rating
D
37/100
Unfinished process
References files that are not bundled: path.md, 来源类型
Tools and files w 18
0
Result and completion w 14
0
Inputs and preconditions w 11
0
the three weakest of ten parameters · all ten

How to improve

  1. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
  2. The text references files that are not there: add them or drop the references.
For the model run — optional
  • Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
  • A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.

Guard findings · 0

✓ No critical or high findings

Files scanned: 8. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-no-when description does not say WHEN to use the skill (no "use when")
  • warning missing-ref reference to a missing file: path.md
  • warning missing-ref reference to a missing file: 来源类型

Process rating: all ten parameters 37/100

Will not run. References files that are not bundled: path.md, 来源类型
  • 0Tools and files. 2 referenced file(s) missing: path.md, 来源类型
  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Failures and branches. Linear process with no failure handling
  • 20When it triggers. No condition that starts the skill
  • 100Steps. 42 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 2594 tokens
  • 100Running it twice. No mutating operations
  • 100Progress reporting. Reports progress
  • low 12 top-level sections: this looks like several domains in one skill

Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.

Quality signals

  • +4Description does not say when NOT to use the skill (false activations)
  • +3Output format is not stated: the model decides each time
  • +1No license
  • +2Single-language instructions
  • +5Description quotes 9 example trigger phrases
  • +3Description length 273: enough signal without eating the budget
  • +4Structure: 44 headings
  • +3Step-by-step instructions: 42 items
  • +4Has examples (17 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 68.

External checks

ClawHub: suspicious
The skill mostly matches a personal wiki workflow, but it asks for sensitive note credentials and has under-scoped credential persistence, dependency, and browser-viewer risks that users should review before installing.
LLM: suspicious (high) · 16 Sept 2026