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A context-dev

Use Context.dev for live web search, page scraping, crawling, structured extraction, document parsing, screenshots, brand intelligence, design systems, industry classification, monitors, and asynchronous batches. Trigger when a user needs current public-web data, clean Markdown or HTML, typed JSON from websites, company logos or brand details, website change tracking, or high-volume web processing—even when they do not mention Context.dev explicitly.

ClawHub Agent Skills author: Context.dev (YC S26) v1.0.0 MIT-0 2 files body ≈ 1 144 tokens open source ↗ analyzed 4 h ago

Use Context.dev for live web search, page scraping, crawling, structured extraction, document parsing, screenshots, brand intelligence, design systems…

IntegrationMarketingDesignAI and agentstype 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
A
95/100
Overall score
Safety 60%
100
Quality 40%
87
Tests bonus
0

How to improve

  1. Add evals/evals.json with 4–6 real requests and expected answers: the full check will then use your cases instead of a model draft.
  2. Add a spec.yaml with triggers and assertions (skilltest init): the behaviour contract for CI.

Guard findings · 0

✓ No critical or high findings

Files scanned: 2. Evidence is masked. Grey chips explain why severity was lowered.

Lint

✓ Lint: no remarks

Process maturity 60/100

  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 30Running it twice. 1 mutating operations with no state check
  • 50Failures and branches. 0 branches, has a failure section
  • 60Tools and files. Uses tools (bash, web) that frontmatter does not declare
  • 100Steps. 16 steps
  • 100When it triggers. States when to use and when not to
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1144 tokens
  • 100Progress reporting. Reports progress

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 454: enough signal without eating the budget
  • +4Structure: 8 headings
  • +3Step-by-step instructions: 16 items
  • +3Output format is stated explicitly
  • +4Has examples (2 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 87.

External checks

ClawHub: clean
This skill is a disclosed Context.dev integration for public-web retrieval and extraction, with appropriate credential handling and confirmation for mutating monitor or batch actions.
LLM: benign (high) · VirusTotal: · 17 Aug 2026