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BF wiki-compiler

腾讯 IMA 知识库 Wiki 编译——将原始资料系统化组织为结构清晰的Wiki知识体系，并支持标签体系管理与按文件夹层级结构归类。当用户说"建知识库""整理资料库""编译知识库""搭建wiki""知识体系化""把资料整理成wiki""给知识库打标签""按标签分类""标签整理""按文件夹归类""整理散落文件"时触发。不适用于单篇摘要、简单问答、或仅搜索已有知识库内容的场景。

ClawHub Agent Skills author: Victor Shen v4.0.0 MIT-0 15 files body ≈ 2 325 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process F 35/100 · Will not run — References files that are not bundled: 永久URL, 链接

ProcedureSoftware developmentInfrastructuretype 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
B
88/100
safety, quality, tests
Safety 60%
100
Quality 40%
70
Run on models
none yet
Process rating
F
35/100
Will not run
References files that are not bundled: 永久URL, 链接
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: 15. 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: 永久URL
  • warning missing-ref reference to a missing file: 链接
  • note frontmatter-key unknown frontmatter key "last_updated"
  • note frontmatter-key unknown frontmatter key "requires"
  • note frontmatter-key unknown frontmatter key "env"

Process rating: all ten parameters 35/100

Will not run. References files that are not bundled: 永久URL, 链接
  • 0Tools and files. 2 referenced file(s) missing: 永久URL, 链接
  • 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
  • 30Running it twice. 2 mutating operations with no state check
  • 100Steps. 94 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 2325 tokens
  • 100Progress reporting. Reports progress
  • low 16 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
  • +2Single-language instructions
  • +5Description quotes 5 example trigger phrases
  • +3Description length 188: enough signal without eating the budget
  • +4Structure: 55 headings
  • +3Step-by-step instructions: 94 items
  • +4Has examples (4 code blocks)
  • +4Reference files are cited in the instructions (12 of 12)
  • +1License stated

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

External checks

ClawHub: clean
This skill is a disclosed Tencent IMA knowledge-base organizer that can make real knowledge-base changes, but its sensitive behavior is coherent with that purpose and includes confirmation and backup guidance.
LLM: benign (high) · VirusTotal: · 10 Jul 2026