BC ultra-remove-ai
对AI生成的文本进行深度改写，不止是换词换句式——从四个维度系统性去AI化： 语言层（句式、用词、意象模板）、叙事层（结构、逻辑闭环、人物真实感）、 细节层（私人印记 vs 通用模板）、设定层（文风一致性）。 内置13个专业编辑角色，自动匹配文字类型，用最合适的口吻改写。 专为中文文本设计。适用场景：创意写作、自媒体、非正式文体； 不适用：学术论文、法律文书、新闻报道等事实性文档。 触发词：「去AI痕迹」「去AI味」「去AI味儿」「改写，去AI」「帮我改一下，太像AI写的了」 「去机器味儿」「这看着太AI了」「太像AI了帮我改改」。
对AI生成的文本进行深度改写，不止是换词换句式——从四个维度系统性去AI化： 语言层（句式、用词、意象模板）、叙事层（结构、逻辑闭环、人物真实感）、 细节层（私人印记 vs 通用模板）、设定层（文风一致性）。 内置13个专业编辑角色，自动匹配文字类型，用最合适的口吻改写。…
As a process C 53/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions
How to improve
- Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
- 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: 17. 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. 76 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 2390 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
- -275 emoji in the instructions: noise for the model
- +1No license
- +2Single-language instructions
- +3Description length 269: enough signal without eating the budget
- +4Structure: 11 headings
- +3Step-by-step instructions: 76 items
- +4Has examples (2 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 70.