BC humanizer
去除文本中的AI写作痕迹，让文字读起来更像人类写作。当用户要求'去AI味'、'降AI味'、'让回复更像人话'、'润色'、'改写得更自然'时使用。检测并修复：AI高频词汇、过度结构化、虚假客观性、机械化连接词、完美主义陷阱、公式化结尾、过度修饰、情感缺失等问题。
As a process C 52/100 · Has gaps — weak spots: when it triggers, inputs and preconditions, failures and branches
This is a copy of a skill from another catalog; the rating counts the canonical one: humanizer (ClawHub)
How to improve
- 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: 4. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
description-no-whendescription does not say WHEN to use the skill (no "use when") - note
frontmatter-keyunknown frontmatter key "description_zh" - note
frontmatter-keyunknown frontmatter key "description_en" - note
frontmatter-keyunknown frontmatter key "trigger"
Process rating: all ten parameters 52/100
- 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. 13 mutating operations with no state check
- 40Consistency. Frontmatter name (humanizer) differs from the folder (unclecheng-reduce-ai-perception)
- 60Result and completion. Output format stated, no completion criterion
- 70Execution cost. Instruction body is 4859 tokens
- 100Tools and files. Tools declared in frontmatter
- 100Steps. 51 steps
- low 19 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)
- +4No input/output examples
- +1No license
- +2Single-language instructions
- +3Description length 130: enough signal without eating the budget
- +4Structure: 64 headings
- +3Step-by-step instructions: 51 items
- +3Output format is stated explicitly
Quality base 70; lint remarks subtract, signals add up to 100. Result: 68.
External checks
ClawHub: suspicious
This writing skill is not malware, but it explicitly teaches users how to make AI text pass as human-written and pass AI-detection checks.
LLM: suspicious (high) · VirusTotal: · 29 May 2026