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AF opencli

Use opencli CLI to interact with social/content websites (Bilibili, Zhihu, Twitter/X, YouTube, Weibo, 小红书, V2EX, Reddit, HackerNews, 雪球, BOSS直聘 etc.) via the user's Chrome login session. ALWAYS prefer opencli over playwright/browser automation for these supported sites. Triggers: user asks to browse, search, fetch hot/trending content, post, or read messages on any supported site; 查B站热门, 搜知乎, 看微博热搜, 发推, 搜YouTube, 查股票行情 etc.

ClawHub Agent Skills author: aaronwang1980 v1.0.0 MIT-0 4 files body ≈ 1 203 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process F 55/100 · Will not run — References files that are not bundled: url

IntegrationPlaywrightYouTubeInfrastructureMedia and videotype 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
94/100
safety, quality, tests
Safety 60%
100
Quality 40%
85
Run on models
none yet
Process rating
F
55/100
Will not run
References files that are not bundled: url
Tools and files w 18
0
Progress reporting w 2
0
Consistency w 8
40
the three weakest of ten parameters · all ten

How to improve

  1. The text references files that are not there: add them or drop the references.
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: 4. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: url

Process rating: all ten parameters 55/100

Will not run. References files that are not bundled: url
  • 0Tools and files. 1 referenced file(s) missing: url
  • 0Progress reporting. Says nothing while it works
  • 40Consistency. Frontmatter name (opencli) differs from the folder (opencli-skill)
  • 50When it triggers. No condition that starts the skill
  • 50Failures and branches. 0 branches, has a failure section
  • 60Result and completion. Output format stated, no completion criterion
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 100Steps. 18 steps
  • 100Execution cost. Instruction body is 1203 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)
  • +1No license
  • +2Single-language instructions
  • +3Description length 427: enough signal without eating the budget
  • +4Structure: 17 headings
  • +3Step-by-step instructions: 18 items
  • +3Output format is stated explicitly
  • +4Has examples (7 code blocks)
  • +4Reference files are cited in the instructions (1 of 1)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 85.

External checks

ClawHub: suspicious
This skill is useful but needs review because it can use logged-in browser sessions to read private account content, perform account actions, automate unsupported sites, and persist new site automations.
LLM: suspicious (high) · VirusTotal: · 29 May 2026