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AD github-trend-analyzer

分析GitHub趋势榜和热门榜，提供技术趋势总结和创新项目介绍。 当用户询问GitHub趋势、热门项目、技术发展趋势、"今天有什么热门"、 "GitHub trending"、"github热门"、"开源趋势"、"技术风向"等话题时， 必须使用此skill获取GitHub官方Trending页面的数据，进行分析总结。 此skill适用于： - 想了解当前GitHub上什么项目最火 - 关注技术发展趋势和新兴技术 - 寻找有创新性的开源项目 - 了解开源社区的技术风向变化 - 对比不同时间段的趋势变化

ClawHub Agent Skills author: Meitu.Inc v1.0.0 MIT-0 3 files body ≈ 461 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process D 41/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

AnalyzerGitHubInfrastructuretype and topics are labelled automatically from the skill text
Runs in: OpenClaw Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) Goose OpenCode
JSON
Technical rating
A
91/100
safety, quality, tests
Safety 60%
100
Quality 40%
77
Run on models
none yet
Process rating
D
41/100
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
  • 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 description-no-when description 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 (github-trend-analyzer) differs from the folder (tech-trending-on-github)
  • 60Tools and files. Uses tools (web, python) that frontmatter does not declare
  • 100Steps. 25 steps
  • 100Execution cost. Instruction body is 461 tokens
  • 100Running it twice. No mutating operations
  • medium 3 test cases, all positive: not one "should refuse" or "should ask first"

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 3 example trigger phrases
  • +3Description length 252: enough signal without eating the budget
  • +4Structure: 11 headings
  • +3Step-by-step instructions: 25 items
  • +4Has examples (2 code blocks)

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

External checks

ClawHub: clean
This appears to be a low-risk GitHub Trending helper with a minor activation-scope issue, not evidence of harmful behavior.
LLM: benign (medium) · VirusTotal: · 29 May 2026