SKILLEMALL.ai

BD wechat-article-writer

写作、改写、拟纲或优化微信公众号文章和微信推文,重点提升标题、摘要、开头、结构、中文语感、信息密度和结尾动作,同时保持事实准确与账号信任。适用于公众号文章写作、微信推文改写、热点评论、干货教程、行业分析、故事人物、情感叙事、清单盘点、通知公告、标题优化、摘要优化、开头优化、去 AI 腔、中文措辞润色和中文语感修订。

ClawHub Agent Skills author: Zack Fair v1.0.0 MIT-0 10 files body ≈ 772 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process D 49/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

GeneratorWriting and documentsInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
B
89/100
safety, quality, tests
Safety 60%
100
Quality 40%
72
Run on models
none yet
Process rating
D
49/100
Unfinished process
Result and completion w 14
0
Inputs and preconditions w 11
0
Failures and branches w 10
0
the three weakest of ten parameters · all ten

How to improve

  1. 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: 10. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-no-when description does not say WHEN to use the skill (no "use when")

Process rating: all ten parameters 49/100

  • 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 (wechat-article-writer) differs from the folder (wechat-auto-article-writer)
  • 100Tools and files. No external tools needed
  • 100Steps. 55 steps
  • 100Execution cost. Instruction body is 772 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

  • +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 158: enough signal without eating the budget
  • +4Structure: 11 headings
  • +3Step-by-step instructions: 55 items
  • +4Reference files are cited in the instructions (7 of 7)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 72.

External checks

ClawHub: clean
This skill is a disclosed WeChat article-writing helper made of prompt and reference documents, with no evidence of hidden access, persistence, or unsafe automation.
LLM: benign (high) · VirusTotal: · 28 May 2026