SKILLEMALL.ai

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。

ClawHub Agent Skills author: kern1x v2.2.2 10 files body ≈ 1 545 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process D 39/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
B
86/100
safety, quality, tests
Safety 60%
100
Quality 40%
64
Run on models
none yet
Process rating
D
39/100
Unfinished process
Result and completion w 14
0
Inputs and preconditions w 11
0
Failures and branches w 10
0
the three weakest of ten parameters · all ten

How to improve

  1. 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-when description does not say WHEN to use the skill (no "use when")
  • note frontmatter-key unknown 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