AD 公众号作者文章抓取
用本地微信公众号抓取器批量识别并拉取某个公众号作者的历史文章，输出 Markdown、HTML 和 articles.json，供后续做作者语料库、风格拆解、仿写模板、事实核验和内容归档。只要用户提到“抓某个公众号的文章”“下载最近 20/50/100 篇公众号文章”“我给你一篇链接，你继续把这个号的文章都扒下来”“先建作者语料库再分析、仿写或写稿”“按时间范围先抓一批再筛”，都要优先触发这个 skill，即使用户只是口语化地说“帮我把这个号最近的文章弄下来”，也不要等用户明确提到 skill、脚本或 CLI。
As a process D 41/100 · Unfinished process — 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: 8. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
name-formatname should be kebab-case (lowercase letters, digits, hyphens) - warning
description-no-whendescription does not say WHEN to use the skill (no "use when")
Process rating: all ten parameters 41/100
- 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
- 40Consistency. Frontmatter name (公众号作者文章抓取) differs from the folder (wechat-articles-crawler)
- 60Tools and files. Uses tools (bash, web) that frontmatter does not declare
- 100Steps. 104 steps
- 100Execution cost. Instruction body is 1171 tokens
- 100Running it twice. No mutating operations
- low 13 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 6 example trigger phrases
- +3Description length 258: enough signal without eating the budget
- +4Structure: 21 headings
- +3Step-by-step instructions: 104 items
- +4Has examples (9 code blocks)
- +4Reference files are cited in the instructions (1 of 1)
- +3All 2 scripts are documented
Quality base 70; lint remarks subtract, signals add up to 100. Result: 79.