AC blog-writer-zh
用中文撰写科技/行业思辨类文章，风格理性犀利、结构清晰。适用场景：用户想写个人思考感悟、科技评论、行业分析、公众号/知乎/小红书长文，或需要润色、扩写、改写现有内容时。触发关键词包括"写篇文章"、"帮我写一篇关于"、"整理一下我对……的思考"、"写个分析"、"深度思考"、"发公众号"、"知乎专栏"、"小红书文案"、"把这段扩写成文"、"润色这篇文章"。如果不确定是否该用，优先触发——写作类需求一般都适用。
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: 5. 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. 62 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1144 tokens
- 100Running it twice. No mutating operations
- low 10 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
- +4Description does not say when NOT to use the skill (false activations)
- +3Output format is not stated: the model decides each time
- +1No license
- +2Single-language instructions
- +5Description quotes 4 example trigger phrases
- +3Description length 204: enough signal without eating the budget
- +4Structure: 23 headings
- +3Step-by-step instructions: 62 items
- +4Has examples (1 code blocks)
- +4Reference files are cited in the instructions (2 of 2)
- +3All 1 scripts are documented
Quality base 70; lint remarks subtract, signals add up to 100. Result: 84.
External checks
ClawHub: clean
This is a disclosed Chinese blog-writing workflow that saves drafts locally, can read a user-chosen reference folder, and optionally exports or archives articles, with no evidence of deception or exfiltration.
LLM: benign (high) · VirusTotal: · 28 May 2026