BC paper-aigc-reducer
降低中文学术论文或技术文档的AIGC检测率。当用户提出降AIGC、降重、论文改写、去除AI痕迹、让文本更像人写的、通过AI检测等需求时，使用此 skill。你的角色是专业的论文/技术文档修改助手，遵循特定的词汇替换和句式改写规则。面向中文学术/技术写作场景，针对知网AIGC检测优化。这是一个中文技能，所有输出和交互都使用中文。
降低中文学术论文或技术文档的AIGC检测率。当用户提出降AIGC、降重、论文改写、去除AI痕迹、让文本更像人写的、通过AI检测等需求时，使用此…
As a process C 53/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions
Proceduretype and topics are labelled automatically from the skill text
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: 2. 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")
Process rating: all ten parameters 53/100
- 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
- 100Tools and files. No external tools needed
- 100Steps. 38 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 729 tokens
- 100Running it twice. No mutating operations
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
- +4No input/output examples
- +1No license
- +2Single-language instructions
- +3Description length 164: enough signal without eating the budget
- +4Structure: 14 headings
- +3Step-by-step instructions: 38 items
Quality base 70; lint remarks subtract, signals add up to 100. Result: 68.
External checks
ClawHub: suspicious
This skill is a text-rewriting helper whose disclosed purpose is to reduce AI-detection signals in Chinese academic or technical writing, so users should review it carefully before use.
LLM: suspicious (high) · 12 Jul 2026