SKILLEMALL.ai

AD a-share-daily-review

全球市场每日复盘生成器(免API Key)。当用户说"A股复盘""今日复盘""大盘复盘""收盘总结""全球市场""今天股市怎么样""生成复盘报告"等,需要生成当日全球市场复盘时使用本技能。基于 akshare 公开数据本地直连,无需注册任何账号、无需配置 API Key,装完即用。输出:A股指数+情绪+行业板块+概念板块+涨停梯队+龙虎榜 + 港股/美股/日韩/欧洲指数 + 北向资金的结构化 Markdown 日报,附确定性摘要和异动提醒。仅陈述市场事实,不构成投资建议。v1.2 新增洞察层和纯文本输出。

ClawHub Agent Skills author: tangbinbinM v1.2.0 MIT-0 4 files body ≈ 627 tokens Open the sourceclawhub.ai analyzed 10 h ago

全球市场每日复盘生成器(免API Key)。当用户说"A股复盘""今日复盘""大盘复盘""收盘总结""全球市场""今天股市怎么样""生成复盘报告"等,需要生成当日全球市场复盘时使用本技能。基于 akshare 公开数据本地直连,无需注册任何账号、无需配置 API…

As a process D 46/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

IntegrationWriting and documentsSoftware developmentData and analyticstype 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
D
46/100
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: 4. 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 46/100

  • 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
  • 60Tools and files. Uses tools (python) that frontmatter does not declare
  • 100Steps. 18 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 627 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 255: enough signal without eating the budget
  • +4Structure: 7 headings
  • +3Step-by-step instructions: 18 items
  • +4Has examples (3 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 coherently fetches public market data locally to generate a fact-only daily market report, with no evidence of credential access, persistence, exfiltration, or destructive behavior.
LLM: benign (high) · VirusTotal: · 22 Aug 2026