SKILLEMALL.ai

AD akshare-stock-analysis

专业股票分析技能整合 akshare 数据 + 技术指标 + 板块轮动 + 持仓诊断。通过 AKShare CLI 调用A股/基金/期货实时行情数据,计算MACD/RSI/MA等技术指标,分析板块轮动趋势,诊断持仓风险与收益,输出结构化JSON结果。适用场景:股票行情查询、技术指标分析、持仓组合诊断、板块热点追踪、财经数据统计。触发关键词:分析股票、今日行情、持仓诊断、推荐股票、今日财经、股票代码、涨跌幅、北向资金。无需API密钥,直接调用 akshare 获取A股/基金/期货实时数据。

ClawHub Agent Skills author: 429668385 v1.0.0 MIT-0 2 files body ≈ 767 tokens Open the sourceclawhub.ai analyzed 3 d ago

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

IntegrationSoftware developmentWriting and documentstype and topics are labelled automatically from the skill text
JSON
Technical rating
A
90/100
safety, quality, tests
Safety 60%
100
Quality 40%
76
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: 2. 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. 9 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 767 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

  • +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
  • +2Single-language instructions
  • +3Description length 246: enough signal without eating the budget
  • +4Structure: 23 headings
  • +3Step-by-step instructions: 9 items
  • +4Has examples (15 code blocks)
  • +3All 1 scripts are documented
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 76.

External checks

ClawHub: clean
The skill's code, runtime instructions, and requirements are consistent with a CLI wrapper around akshare and public market APIs — nothing requested is disproportionate to its stated purpose.
LLM: benign (high) · VirusTotal: · 29 May 2026