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.
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
How to improve
- The text references files that are not there: add them or drop the references.
- 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-refreference to a missing file: scripts/fetch_news.py - note
frontmatter-keyunknown frontmatter key "emoji"
Process rating: all ten parameters 46/100
- 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.