SKILLEMALL.ai

AF market-news-aggregator

Aggregate, classify, summarize, and analyze market news from Chinese financial portals (Sina Finance, EastMoney, Hexun, Jin10). Use for (1) pre-market briefing on overnight news, (2) intraday real-time alerts for market-moving events, (3) end-of-day news review. Supports sector classification, sentiment tagging, keyword extraction, and importance ranking.

ClawHub Agent Skills author: zhaocaixia888 v1.0.0 MIT-0 2 files body ≈ 1 547 tokens Open the sourceclawhub.ai analyzed 2 d ago

Aggregate, classify, summarize, and analyze market news from Chinese financial portals (Sina Finance, EastMoney, Hexun, Jin10).

As a process F 46/100 · Will not run — References files that are not bundled: scripts/fetch_news.py

AnalyzerWriting and documentstype and topics are labelled automatically from the skill text
JSON
Technical rating
A
92/100
safety, quality, tests
Safety 60%
100
Quality 40%
80
Run on models
none yet
Process rating
F
46/100
Will not run
References files that are not bundled: scripts/fetch_news.py
Tools and files w 18
0
Inputs and preconditions w 11
0
Failures and branches w 10
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: scripts/fetch_news.py
  • note frontmatter-key unknown frontmatter key "emoji"

Process rating: all ten parameters 46/100

Will not run. References files that are not bundled: scripts/fetch_news.py
  • 0Tools and files. 1 referenced file(s) missing: scripts/fetch_news.py
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Failures and branches. Linear process with no failure handling
  • 20When it triggers. No condition that starts the skill
  • 60Result and completion. Output format stated, no completion criterion
  • 100Steps. 33 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1547 tokens
  • 100Running it twice. No mutating operations
  • 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 357: enough signal without eating the budget
  • +4Structure: 20 headings
  • +3Step-by-step instructions: 33 items
  • +3Output format is stated explicitly
  • +4Has examples (7 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 80.

External checks

ClawHub: clean
This skill is a disclosed market-news workflow that fetches public financial news pages and summarizes them without hidden code or persistence.
LLM: benign (high) · VirusTotal: · 2 Jun 2026