SKILLEMALL.ai

BD ZeeLin AI头部简讯

AI领域高质量信息聚合与过滤 skill。当用户要求获取AI领域最新动态、前沿论文、热门工具、行业趋势时触发。覆盖AIGC(文本/图像/视频生成)、虚拟数字人、AI短视频/短剧制作工具、智能传播/舆情/新闻学AI应用四大领域。自动从 arXiv、GitHub、Hacker News、Hugging Face 四大信息源抓取、过滤、评分并生成全球AI中文简报。支持每日快讯和每周深度总结两种输出模式。当用户说‘AI周报’‘本周AI有什么新进展’‘帮我追踪AI前沿信息简报’等类似表述时使用此 skill。

ClawHub Agent Skills author: kelcey2023 v0.1.2 MIT-0 2 files body ≈ 1 046 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

ReferenceGitHubInfrastructureResearchtype and topics are labelled automatically from the skill text
JSON
Technical rating
B
87/100
safety, quality, tests
Safety 60%
100
Quality 40%
67
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: 2. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning name-format name should be kebab-case (lowercase letters, digits, hyphens)
  • 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 (ZeeLin AI头部简讯) differs from the folder (zeelin-ai-headline-brief)
  • 100Tools and files. No external tools needed
  • 100Steps. 23 steps
  • 100Execution cost. Instruction body is 1046 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
  • +1No license
  • +2Single-language instructions
  • +3Description length 252: enough signal without eating the budget
  • +4Structure: 16 headings
  • +3Step-by-step instructions: 23 items
  • +4Has examples (8 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 67.

External checks

ClawHub: clean
This skill only guides the agent to gather public AI news and research and turn it into Chinese briefings.
LLM: benign (high) · VirusTotal: · 29 May 2026