SKILLEMALL.ai

AC xwlb-daily-intel

检索并分析央视《新闻联播》某一天或当日刚播出的内容:直采央视官网官方文字稿(第一信源),产出固定格式情报报告——核心摘要→五类要点(时政/政策/宏观经济产业/民生/国际)→潜在影响推演→持续关注信号,事实与观点严格分区并逐条标注信源可信度。用户说"早报"、"分析昨天/今天的新闻联播"、"联播报告"、"新闻联播讲了什么",或定时任务每日触发时必须使用本技能;想了解央视头条政策、宏观动向、国际要闻时也用本技能。内置零依赖抓取脚本直取官网 day 日期页(绕过 index 页 JS 反爬),当日 20 点后即可全量分析。

ClawHub Agent Skills author: Kwokfu v1.0.0 MIT-0 3 files body ≈ 719 tokens Open the sourceclawhub.ai analyzed 35 h ago

检索并分析央视《新闻联播》某一天或当日刚播出的内容:直采央视官网官方文字稿(第一信源),产出固定格式情报报告——核心摘要→五类要点(时政/政策/宏观经济产业/民生/国际)→潜在影响推演→持续关注信号,事实与观点严格分区并逐条标注信源可信度。用户说"早报"、"分析昨天/今天的新闻联播"、"联播报告"、"新闻联播讲了什么…

As a process C 51/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureSoftware developmenttype and topics are labelled automatically from the skill text
JSON
Technical rating
A
92/100
safety, quality, tests
Safety 60%
100
Quality 40%
80
Run on models
none yet
Process rating
C
51/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
Progress reporting w 2
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: 3. 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")

Process rating: all ten parameters 51/100

  • 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
  • 50Failures and branches. 0 branches, has a failure section
  • 60Tools and files. Uses tools (web, python) that frontmatter does not declare
  • 100Steps. 25 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 719 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

  • +4Description does not say when NOT to use the skill (false activations)
  • +3Output format is not stated: the model decides each time
  • +1No license
  • +2Single-language instructions
  • +5Description quotes 2 example trigger phrases
  • +3Description length 260: enough signal without eating the budget
  • +4Structure: 14 headings
  • +3Step-by-step instructions: 25 items
  • +4Has examples (2 code blocks)
  • +3All 1 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 80.

External checks

ClawHub: clean
This skill fetches public CCTV news transcripts and helps turn them into a local report, with no evidence of hidden credential use, destructive behavior, or deceptive execution.
LLM: benign (high) · VirusTotal: · 15 Sept 2026