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AF ai-news-radar

Fetch curated AI news, social signals, blogs, papers, events, and skills from the Agentic Brew public RSS feeds (https://www.agenticbrew.ai/feed/*.xml) and return a compact, agent-friendly list. Use when the user wants "today's AI news", "what's trending in AI", "AI papers this week", "AI events", "AI blogs", "trending AI repos", "trending AI on Reddit / YouTube / Product Hunt", "trending AI skills", "ai news radar", "agentic brew feed", "AI signal radar", "latest AI digest", or any request to pull curated AI items from Agentic Brew without writing a scraper.

ClawHub Agent Skills author: sunxiayi v1.0.0 MIT-0 2 files body ≈ 1 981 tokens Open the sourceclawhub.ai↗ analyzed 4 d ago

As a process F 41/100 · Will not run — References files that are not bundled: link

GeneratorYouTubeAI 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
Technical rating
A
93/100
safety, quality, tests
Safety 60%
100
Quality 40%
83
Run on models
none yet
Process rating
F
41/100
Will not run
References files that are not bundled: link
Tools and files w 18
0
Result and completion w 14
0
Inputs and preconditions w 11
0
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: 2. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

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

Process rating: all ten parameters 41/100

Will not run. References files that are not bundled: link
  • 0Tools and files. 1 referenced file(s) missing: link
  • 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. 2 mutating operations with no state check
  • 40Consistency. Frontmatter name (ai-news-radar) differs from the folder (ai-news-fetcher)
  • 70When it triggers. States when to use, but not when not to
  • 70Failures and branches. 4 branches
  • 85Steps. 21 steps, 1 vague phrases
  • 100Execution cost. Instruction body is 1981 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

  • +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 12 example trigger phrases
  • +3Description length 565: enough signal without eating the budget
  • +4Structure: 7 headings
  • +3Step-by-step instructions: 21 items
  • +4Has examples (2 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 83.

External checks

ClawHub: clean
This skill is a straightforward public RSS feed reader for AI-related sources, with no evidence of hidden data access or unsafe behavior.
LLM: benign (high) · VirusTotal: · 29 May 2026