BF AI News Aggregator
AI/技术新闻聚合引擎。100+ RSS源并发抓取、兴趣评分、跨天去重、统一预取。
AI/技术新闻聚合引擎。100+ RSS源并发抓取、兴趣评分、跨天去重、统一预取。
As a process F 28/100 · Will not run — References files that are not bundled: scripts/rss_sources.json
ProcedureGitHubAI and agentsWriting and documentsResearchtype and topics are labelled automatically from the skill text
This is a copy of a skill from another catalog; the rating counts the canonical one: AI News Aggregator (ClawHub)
How to improve
- 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: 3. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
name-formatname should be kebab-case (lowercase letters, digits, hyphens) - warning
missing-refreference to a missing file: scripts/rss_sources.json - note
frontmatter-keyunknown frontmatter key "slug" - note
frontmatter-keyunknown frontmatter key "homepage" - note
frontmatter-keyunknown frontmatter key "changelog" - note
frontmatter-keyunknown frontmatter key "capabilities"
Process rating: all ten parameters 28/100
Will not run. References files that are not bundled: scripts/rss_sources.json
- 0Tools and files. 1 referenced file(s) missing: scripts/rss_sources.json
- 0Result and completion. Does not say what the result is
- 0Inputs and preconditions. Does not say what the process needs to start
- 0Failures and branches. Linear process with no failure handling
- 0Progress reporting. Says nothing while it works
- 20When it triggers. No condition that starts the skill
- 30Running it twice. 2 mutating operations with no state check
- 40Consistency. Frontmatter name (AI News Aggregator) differs from the folder (finance-news-aggregator)
- 100Steps. 39 steps
- 100Execution cost. Instruction body is 2535 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)
- +3Description length 41: 120–800 characters recommended
- +3Output format is not stated: the model decides each time
- -215 emoji in the instructions: noise for the model
- +1No license
- +2Single-language instructions
- +4Structure: 26 headings
- +3Step-by-step instructions: 39 items
- +4Has examples (17 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 65.
External checks
ClawHub: clean
This is a documentation-only news aggregation skill with some labeling drift, but no included executable code, credential handling, persistence, or destructive behavior was found.
LLM: benign (high) · VirusTotal: · 2 Jun 2026