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AF ai-frontier-monitor

AI frontier intelligence briefing — aggregate, score, and deliver structured daily briefings from 5 tracks (RSS enterprise, 36kr hotlist, arXiv papers, GitHub Trending, Anthropic web search). Use when user mentions: AI前沿, 情报汇总, 每日情报, 行业动态, AI动态, 技术趋势, 行业信号, 今天有什么信号, AI动态汇总, frontier monitor, daily briefing AI, signal check, AI news, tech briefing.

ClawHub Agent Skills author: lynxpurr v3.0.3 MIT-0 9 files · 2 scripts body ≈ 1 424 tokens Open the sourceclawhub.ai↗ analyzed 4 d ago

As a process F 40/100 · Will not run — References files that are not bundled: {Link}

ProcedureGitHubInfrastructureAI and agentsResearchtype 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
40/100
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: 9. 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 40/100

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
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 4 mutating operations with no state check
  • 50Failures and branches. 0 branches, has a failure section
  • 100Steps. 25 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1424 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)
  • +3Output format is not stated: the model decides each time
  • -231 emoji in the instructions: noise for the model
  • +1No license
  • +2Single-language instructions
  • +3Description length 349: enough signal without eating the budget
  • +4Structure: 15 headings
  • +3Step-by-step instructions: 25 items
  • +4Has examples (4 code blocks)
  • +4Reference files are cited in the instructions (3 of 3)
  • +3All 4 scripts are documented

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

External checks

ClawHub: clean
This is a disclosed AI-news briefing skill that fetches public sources, scores items, and can archive or send the generated report.
LLM: benign (high) · VirusTotal: · 29 May 2026