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AF news-research-summary

Researches news and factual information on the web, then produces a cited, deduplicated summary tailored to constraints (topic, time range, region, sources, language, length, and angle). Use when the user asks to “检索资讯/搜集资料/查新闻/整理资料/做信息汇总/竞品动态/行业动态/政策解读/舆情摘要/日报周报” or requests a summary with sources/links.

ClawHub Agent Skills author: darinouyang v1.0.1 MIT-0 4 files body ≈ 656 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

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

GeneratorWriting and documentstype 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: ...
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: 4. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

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

Process rating: all ten parameters 49/100

Will not run. References files that are not bundled: ...
  • 0Tools and files. 1 referenced file(s) missing: ...
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Progress reporting. Says nothing while it works
  • 30Running it twice. 2 mutating operations with no state check
  • 40Consistency. Frontmatter name (news-research-summary) differs from the folder (news-research-summary-skill)
  • 60Result and completion. Output format stated, no completion criterion
  • 70When it triggers. States when to use, but not when not to
  • 70Failures and branches. 4 branches
  • 100Steps. 30 steps
  • 100Execution cost. Instruction body is 656 tokens

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 306: enough signal without eating the budget
  • +4Structure: 6 headings
  • +3Step-by-step instructions: 30 items
  • +3Output format is stated explicitly
  • +4Has examples (1 code blocks)

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

External checks

ClawHub: clean
This is a documentation-only web research skill that guides an agent to search public sources and write cited summaries, with no code execution or credential access.
LLM: benign (high) · VirusTotal: · 29 May 2026