BD ai-news-pusher-v2
AI新闻自动获取与推送Skill v2.2。新增智能产品价值评分、高质量信源过滤、三级分类机制和人工反馈迭代。支持Tavily、Brave、RSS多新闻源聚合,无需API Key即可使用RSS源。当用户需要获取AI行业最新动态、自动化新闻推送、多源新闻聚合或智能内容过滤时触发此Skill。
As a process D 39/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions
How to improve
- Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
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: 10. 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") - note
frontmatter-keyunknown frontmatter key "optional_envs"
Process rating: all ten parameters 39/100
- 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-pusher-v2) differs from the folder (ai-news-pusher)
- 60Tools and files. Uses tools (python) that frontmatter does not declare
- 100Steps. 77 steps
- 100Execution cost. Instruction body is 1545 tokens
- low 11 top-level sections: this looks like several domains in one skill
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
- -2localhost URLs: will not work for another user
- -219 emoji in the instructions: noise for the model
- -33 of 7 scripts are never mentioned in SKILL.md
- +1No license
- +2Single-language instructions
- +3Description length 145: enough signal without eating the budget
- +4Structure: 36 headings
- +3Step-by-step instructions: 77 items
- +4Has examples (15 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 64.
External checks
ClawHub: clean
This skill is a disclosed AI-news fetching, scoring, storing, and optional Feishu-push tool with no artifact evidence of hidden or destructive behavior.
LLM: benign (high) · VirusTotal: · 29 May 2026