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BD opencli

使用 OpenCLI 工具从各种网站和桌面应用获取数据、下载媒体内容、控制外部 CLI 工具。支持 Bilibili、知乎、小红书、Twitter/X、Reddit、YouTube、Boss直聘、即刻、微博等 30+ 平台，以及 Cursor、Codex、ChatGPT、Notion 等桌面应用。当用户需要：从社交平台获取热门内容、搜索信息、下载视频/图片、获取平台数据、控制桌面应用、使用外部 CLI（gh、docker、kubectl）时，使用此 skill。触发词：bilibili、知乎、小红书、twitter、reddit、youtube、热门、下载视频、平台数据、opencli、网站数据、社交媒体。

ClawHub Agent Skills author: Wike-CHI v1.0.0 MIT-0 2 files body ≈ 1 086 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

IntegrationDockerKubernetesNotionYouTubeInfrastructureMedia 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
B
89/100
safety, quality, tests
Safety 60%
100
Quality 40%
72
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
  • 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 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 (opencli) differs from the folder (opencli-tool)
  • 60Tools and files. Uses tools (node) that frontmatter does not declare
  • 100Steps. 48 steps
  • 100Execution cost. Instruction body is 1086 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 307: enough signal without eating the budget
  • +4Structure: 35 headings
  • +3Step-by-step instructions: 48 items
  • +4Has examples (15 code blocks)

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

External checks

ClawHub: suspicious
This is a broad OpenCLI bridge that appears purpose-aligned, but it gives agents access to logged-in browser sessions, desktop apps, downloads, and powerful local CLIs without enough scoping or consent guidance.
LLM: suspicious (high) · VirusTotal: · 29 May 2026