BF daily-news-digest
每日从多个权威新闻来源(BBC RSS、南华早报、36氪、TechCrunch、The Verge、Microsoft/NVIDIA官方博客等)抓取最新资讯,自动生成四板块新闻日报:国际重要新闻、中国重要新闻、AI重要新闻、AI科技巨头动态。输出带原文链接的Markdown文件。当用户需要生成每日新闻摘要、科技资讯日报、AI行业动态汇总、国际时事简报,或设置定时自动化新闻任务时使用。
As a process F 31/100 · Will not run — References files that are not bundled: URL
How to improve
- Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
- 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
description-no-whendescription does not say WHEN to use the skill (no "use when") - warning
missing-refreference to a missing file: URL - note
frontmatter-keyunknown frontmatter key "description_zh" - note
frontmatter-keyunknown frontmatter key "description_en"
Process rating: all ten parameters 31/100
Will not run. References files that are not bundled: URL
- 0Tools and files. 1 referenced file(s) missing: URL
- 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
- 40Consistency. Frontmatter name (daily-news-digest) differs from the folder (daily-news-summary)
- 100Steps. 50 steps
- 100Execution cost. Instruction body is 649 tokens
- 100Running it twice. No mutating operations
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
- +4No input/output examples
- +1No license
- +2Single-language instructions
- +3Description length 193: enough signal without eating the budget
- +4Structure: 9 headings
- +3Step-by-step instructions: 50 items
- +4Reference files are cited in the instructions (1 of 1)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 64.
External checks
ClawHub: clean
This skill generates a daily news digest from public news sources and has only disclosed, purpose-aligned file output and optional scheduling behavior.
LLM: benign (high) · VirusTotal: · 29 May 2026