SKILLEMALL.ai
GitHub ↗ RU Sign in

AF ai-news-digest

AI industry news aggregator and structured report generator. Automatically collects, deduplicates, ranks, and categorizes the latest AI developments from multiple sources into professional daily or weekly digests. Supports topic deep-dives, competitor tracking, trend analysis, bilingual output, and multi-format delivery (chat, file, Feishu doc). Zero dependencies — pure prompt-driven. Use when user asks for AI news, tech digest, industry update, competitor analysis, or weekly AI roundup.

ClawHub Agent Skills author: Alex v3.0.3 MIT-0 2 files body ≈ 2 106 tokens Open the sourceclawhub.ai↗ analyzed 4 d ago

As a process F 49/100 · Will not run — References files that are not bundled: {url}

GeneratorData and analyticsInfrastructureAI 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
92/100
safety, quality, tests
Safety 60%
100
Quality 40%
81
Run on models
none yet
Process rating
F
49/100
Will not run
References files that are not bundled: {url}
Tools and files w 18
0
Inputs and preconditions w 11
0
Progress reporting w 2
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: {url}

Process rating: all ten parameters 49/100

Will not run. References files that are not bundled: {url}
  • 0Tools and files. 1 referenced file(s) missing: {url}
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 40Consistency. Frontmatter name (ai-news-digest) differs from the folder (yqg-ai-news-digest)
  • 60Result and completion. Output format stated, no completion criterion
  • 100Steps. 35 steps
  • 100Failures and branches. 3 branches, has a failure section
  • 100Execution cost. Instruction body is 2106 tokens
  • 100Running it twice. Mutating operations check current state

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 492: enough signal without eating the budget
  • +4Structure: 16 headings
  • +3Step-by-step instructions: 35 items
  • +3Output format is stated explicitly
  • +4Has examples (4 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 81.

External checks

ClawHub: clean
This is an instruction-only AI news digest skill whose web research and optional report delivery match its stated purpose.
LLM: benign (high) · VirusTotal: · 29 May 2026