BC multi-copywrite-alchemy
复刻蒸馏写作技能 —— 分析一位作者的多篇文章，深度还原其思维方式与写作风格，生成专属写作分身子技能与风格提示词。支持公众号、抖音多平台自动采集素材，也可手动粘贴文章或指定文件路径。触发词：蒸馏写作风格、写作分身、克隆写作风格、复刻蒸馏写作技能。
复刻蒸馏写作技能 —— 分析一位作者的多篇文章，深度还原其思维方式与写作风格，生成专属写作分身子技能与风格提示词。支持公众号、抖音多平台自动采集素材，也可手动粘贴文章或指定文件路径。触发词：蒸馏写作风格、写作分身、克隆写作风格、复刻蒸馏写作技能。
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.
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: 6. 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 "agent_created"
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. 18 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 602 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 123: enough signal without eating the budget
- +4Structure: 16 headings
- +3Step-by-step instructions: 18 items
- +4Reference files are cited in the instructions (1 of 4)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 71.
External checks
ClawHub: clean
This skill does what it says: collects or accepts writing samples, analyzes style, and creates a local writing-persona skill, with some user-impacting behavior users should understand first.
LLM: benign (medium) · VirusTotal: · 10 Jul 2026