SKILLEMALL.ai

AC china-briefing

多尺度中文资讯简报生成。从一条街道到全球,任意地理范围均可生成。 从主流媒体(Reuters/BBC/新华社)、街道公众号、社交平台(微博/小红书/抖音) 获取资讯,结构化输出。 使用场景:用户要求"简报"、"资讯"、"早报"、"晚报"、"周报"、"XX简报"、 "XX资讯"、"本地新闻"、"国际新闻"、"街道新闻"等。 外部依赖:Python 3(标准库),通过 Tavily web_search + web_fetch 获取数据。 NOT for: 邮件群发订阅、Newsletter运营策略。

ClawHub Agent Skills author: Shine8592 v1.0.0 MIT-0 6 files body ≈ 611 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process C 57/100 · Has gaps — weak spots: result and completion, inputs and preconditions, failures and branches

ReferenceInfrastructureWriting and documentsSoftware developmenttype and topics are labelled automatically from the skill text
JSON
Technical rating
A
91/100
safety, quality, tests
Safety 60%
100
Quality 40%
77
Run on models
none yet
Process rating
C
57/100
Has gaps
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: 6. 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 57/100

  • 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
  • 50When it triggers. No condition that starts the skill
  • 100Tools and files. No external tools needed
  • 100Steps. 20 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 611 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
  • +3Output format is not stated: the model decides each time
  • -31 of 1 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +4Description says when NOT to use the skill
  • +3Description length 251: enough signal without eating the budget
  • +4Structure: 19 headings
  • +3Step-by-step instructions: 20 items
  • +4Has examples (2 code blocks)
  • +4Reference files are cited in the instructions (2 of 2)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 77.

External checks

ClawHub: clean
This is a disclosed Chinese news-briefing skill that uses public web sources and a small helper script, with no evidence of hidden access, persistence, credential use, or destructive behavior.
LLM: benign (high) · VirusTotal: · 29 May 2026