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BF geo-human-editor

Audit and rewrite content to remove AI-generated feel by stripping markdown artifacts, eliminating AI vocabulary patterns, flagging hallucination risks, and restoring natural human voice. Use whenever the user mentions content sounding like AI, removing AI tone, making content more human, checking for AI feel, fixing mechanical writing patterns, or scanning for hallucinations and unverified claims in content.

modbender/skill-library-mcp Agent Skills author: modbender MIT 4 files body ≈ 1 146 tokens Open the sourcegithub.com↗ analyzed 3 d ago

Audit and rewrite content to remove AI-generated feel by stripping markdown artifacts, eliminating AI vocabulary patterns, flagging hallucination risks, and…

As a process F 35/100 · Will not run — References files that are not bundled: references/ai-vocabulary.md, references/patterns.md, references/hallucinations.md

AnalyzerSoftware developmentResearchtype 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%
71
Run on models
none yet
Process rating
F
35/100
Will not run
References files that are not bundled: references/ai-vocabulary.md, references/patterns.md, references/hallucinations.md
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. The text references files that are not there: add them or drop the references.
For the model run — optional
  • 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: 3. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: references/ai-vocabulary.md
  • warning missing-ref reference to a missing file: references/patterns.md
  • warning missing-ref reference to a missing file: references/hallucinations.md

Process rating: all ten parameters 35/100

Will not run. References files that are not bundled: references/ai-vocabulary.md, references/patterns.md, references/hallucinations.md
  • 0Tools and files. 3 referenced file(s) missing: references/ai-vocabulary.md, references/patterns.md, references/hallucinations.md
  • 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
  • 30Running it twice. 5 mutating operations with no state check
  • 70When it triggers. States when to use, but not when not to
  • 75Steps. 3 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1146 tokens
  • medium 1 test cases, all positive: not one "should refuse" or "should ask first"

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)
  • +3Output format is not stated: the model decides each time
  • -41 reference files, but SKILL.md never points to them: the model will not open them
  • +1No license
  • +2Single-language instructions
  • +3Description length 412: enough signal without eating the budget
  • +4Structure: 9 headings
  • +3Step-by-step instructions: 3 items
  • +4Has examples (5 code blocks)
  • +3All 1 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 71.