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AC humanizer

Remove signs of AI-generated writing from text. Use when editing or reviewing text to make it sound more natural and human-written. Combines Wikipedia's "Signs of AI writing" guide with 2025-2026 forensic detection research. Covers: perplexity/burstiness metrics, Unicode artifacts, 24+ AI vocabulary patterns, structural tells, and surgical humanization techniques. Includes detection benchmarks for GPT-4o, Claude, Gemini models.

LeoYeAI/openclaw-master-skills Agent Skills author: LeoYeAI MIT 2 files body ≈ 6 611 tokens Open the sourcegithub.com↗ analyzed 2 d ago

Remove signs of AI-generated writing from text.

As a process C 56/100 · Has gaps — weak spots: when it triggers, inputs and preconditions, failures and branches

GeneratorData and analyticsAI and agentsSales and CRMtype 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
A
91/100
safety, quality, tests
Safety 60%
100
Quality 40%
77
Run on models
none yet
Process rating
C
56/100
Has gaps
Inputs and preconditions w 11
0
Failures and branches w 10
0
Progress reporting w 2
0
the three weakest of ten parameters · all ten

How to improve

  1. The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
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: 2. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning body-long SKILL.md body ≈ 6611 tokens (recommended < 5000); move details to references/
  • note edit-residue the text marks something as outdated (lines 55, 127, 633): check that old rules are not kept next to new ones — the full check reads the text for contradictions

Process rating: all ten parameters 56/100

  • 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. 24 mutating operations with no state check
  • 40Consistency. Frontmatter name (humanizer) differs from the folder (deai-ify)
  • 70Execution cost. Instruction body is 6611 tokens
  • 85Steps. 129 steps, 1 vague phrases
  • 100Tools and files. Tools declared in frontmatter
  • 100Result and completion. Output format and completion criterion are stated
  • 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

  • +5Description has no quoted example phrases that should trigger the skill
  • +4Description does not say when NOT to use the skill (false activations)
  • +1No license
  • +2Single-language instructions
  • +3Description length 431: enough signal without eating the budget
  • +4Structure: 60 headings
  • +3Step-by-step instructions: 129 items
  • +3Output format is stated explicitly
  • +4Has examples (1 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 77.