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BD mu-humanizer-minesweeping

AI味消除剂+书面禁忌扫雷。通过场景锚定、风格校准、证据守恒改写、独立保真审计与书面禁忌扫雷，帮助写出准确、自然、得体的文字。触发词：去AI味、人话改写、AI味消除剂、这段太AI了、润色一下、扫雷、书面禁忌、用词检查、禁用词、慎用词、写作规范。即使未明确要求扫雷，任何自然语言写作、改写或润色任务都执行扫雷；不适用：代码、数据字段、原文引用、纯数据表格。

ClawHub Agent Skills author: 木先生iPPT v1.0.1 MIT-0 18 files body ≈ 1 263 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

AI味消除剂+书面禁忌扫雷。通过场景锚定、风格校准、证据守恒改写、独立保真审计与书面禁忌扫雷，帮助写出准确、自然、得体的文字。触发词：去AI味、人话改写、AI味消除剂、这段太AI了、润色一下、扫雷、书面禁忌、用词检查、禁用词、慎用词、写作规范。即使未明确要求扫雷，任何自然语言写作、改写或润色任务都执行扫雷；不适用：代…

As a process D 36/100 · Unfinished process — weak spots: steps, result and completion, when it triggers

ReferenceAI and agentstype 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
87/100
safety, quality, tests
Safety 60%
100
Quality 40%
68
Run on models
none yet
Process rating
D
36/100
Unfinished process
Steps w 15
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.
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: 18. 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")
  • note frontmatter-key unknown frontmatter key "display_name"
  • note frontmatter-key unknown frontmatter key "visibility"

Process rating: all ten parameters 36/100

  • 0Steps. Prose only: no discrete steps
  • 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
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 2 mutating operations with no state check
  • 100Tools and files. No external tools needed
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1263 tokens

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

  • +5Description has no quoted example phrases that should trigger the skill
  • +4Description does not say when NOT to use the skill (false activations)
  • +3No numbered steps or checklist
  • +3Output format is not stated: the model decides each time
  • +4No input/output examples
  • +2Single-language instructions
  • +3Description length 177: enough signal without eating the budget
  • +4Structure: 12 headings
  • +4Reference files are cited in the instructions (8 of 8)
  • +1License stated

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

External checks

ClawHub: clean
This skill is a local writing editor and wording-risk checker whose sensitive behavior is disclosed and limited to the text and optional local rule files the user chooses to use.
LLM: benign (high) · VirusTotal: · 3 Sept 2026