BC astock-unified-financial
A股行情与财务数据读取的终极整合技能。融合Baostock/Akshare双数据源的全部最佳实践、 已知踩坑经验、单位转换、代码格式处理、缓存策略、错误处理与降级策略、研发费用查询、 公司注册属地查询等核心场景。一站式解决A股数据读取的所有问题。 本技能将分散在多个文档中的经验融合为一份自包含的完整指南。
As a process C 52/100 · Has gaps — 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.
- The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
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-whendescription does not say WHEN to use the skill (no "use when") - warning
body-longSKILL.md body ≈ 7312 tokens (recommended < 5000); move details to references/ - note
frontmatter-keyunknown frontmatter key "agent_created"
Process rating: all ten parameters 52/100
- 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
- 70Execution cost. Instruction body is 7312 tokens
- 100Tools and files. No external tools needed
- 100Steps. 58 steps
- 100Consistency. Name and required fields are in place
- 100Running it twice. No mutating operations
- low 19 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
- -277 emoji in the instructions: noise for the model
- +1No license
- +2Single-language instructions
- +3Description length 153: enough signal without eating the budget
- +4Structure: 77 headings
- +3Step-by-step instructions: 58 items
- +4Has examples (36 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 59.
External checks
ClawHub: clean
This is a documentation-only A-share financial data guide with expected API and caching examples, not hidden or destructive behavior.
LLM: benign (high) · VirusTotal: · 29 May 2026