BF auto-news-podcast
**Auto News Podcast** 是一款智能新闻播客生成工具，能够根据用户输入的关键词自动完成从新闻搜索到音频生成的完整流程。 **Auto News Podcast** is an intelligent news podcast generation tool that automatically completes the entire workflow from news search to audio generation based on user-provided keywords. Use when user asks to: 生成新闻播客、搜索新闻并生成音频、自动新闻播报、新闻摘要+语音播报、 news podcast, auto news briefing, generate news audio, 每日新闻早报, 新闻晚报, 批量生成新闻播报. 支持英文输入：Generate news broadcasts [keyword, style is..., format is..., voice is...] 支持自定义输出目录、音色描述、播报风格、播报形式，自动完成搜索→去重→摘要→风格化文案→配图→播报全流程。
As a process F 39/100 · Will not run — References files that are not bundled: cover.jpg
How to improve
- The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
- 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: 7. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
body-longSKILL.md body ≈ 9550 tokens (recommended < 5000); move details to references/ - warning
missing-refreference to a missing file: cover.jpg
Process rating: all ten parameters 39/100
- 0Tools and files. 1 referenced file(s) missing: cover.jpg
- 0Result and completion. Does not say what the result is
- 0Inputs and preconditions. Does not say what the process needs to start
- 0Progress reporting. Says nothing while it works
- 20When it triggers. No condition that starts the skill
- 30Running it twice. 5 mutating operations with no state check
- 40Execution cost. Instruction body is 9550 tokens: crowds the task out of the window
- 100Steps. 67 steps
- 100Failures and branches. 2 branches, has a failure section
- 100Consistency. Name and required fields are in place
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
- -232 emoji in the instructions: noise for the model
- -33 of 4 scripts are never mentioned in SKILL.md
- +1No license
- +2Single-language instructions
- +3Description length 529: enough signal without eating the budget
- +4Structure: 64 headings
- +3Step-by-step instructions: 67 items
- +4Has examples (43 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 63.