BC china-stock-toolkit
全球市场实时仪表盘 - A股/港股/美股/日韩指数、贵金属、外汇、自选股管理、个股详情分析、交易税费计算。内置多源聚合引擎（新浪/腾讯/东方财富），自动交叉验证数据可靠性。支持用户自定义数据接口扩展。Global market real-time dashboard with multi-source data aggregation, cross-validation, and HTML dashboard. GitHub: https://github.com/darbling/clawhub-skills 当用户询问A股行情、港股、美股、黄金、白银、汇率、自选股、个股分析、新闻、利好利空、交易税费、情绪分析时触发。
As a process C 53/100 · 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.
- 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: 8. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
frontmatter-yamlSKILL.md: the frontmatter is not valid YAML (YAML parse error: Nested mappings are not allowed in compact mappings at line 2, column 14: description: 全球市场实时仪表盘 - A股/港股/美股/日韩指数、贵金属、外汇、自选股管理、个股详情分析、交易税费计算。内置多源聚合引擎（新浪/腾… ^ ); fields were read line by line. The usual cause is a colon inside an unquoted value - warning
description-no-whendescription does not say WHEN to use the skill (no "use when")
Process rating: all ten parameters 53/100
- 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
- 100Tools and files. No external tools needed
- 100Steps. 72 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1293 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
- -2localhost URLs: will not work for another user
- -259 emoji in the instructions: noise for the model
- -33 of 4 scripts are never mentioned in SKILL.md
- +1No license
- +2Single-language instructions
- +3Description length 314: enough signal without eating the budget
- +4Structure: 25 headings
- +3Step-by-step instructions: 72 items
- +4Has examples (7 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 55.