BF stock-analysis
可移植自包含的股票分析薄编排 skill。行情/基本面/新闻/资金流等全部数据委托 sibling skill a-stock-data（A股，43端点）运行时取数；本 skill 只做输入归一化、技术指标(纯标准库)、上下文合并、LLM 决策仪表盘 prompt、报告存储。覆盖 A 股 + A 股 ETF（港美台不支持）。编排流程与 prompt 内置，任何支持 skill 的智能体项目都能用。存储可选本地文件或 sqlite。
As a process F 35/100 · Will not run — References files that are not bundled: references/*.md, scripts/lib/{kline,indicators}.py
How to improve
- Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
- The text references files that are not there: add them or drop the references.
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: 13. 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
missing-refreference to a missing file: references/*.md - warning
missing-refreference to a missing file: scripts/lib/{kline,indicators}.py - note
frontmatter-keyunknown frontmatter key "data_sources" - note
frontmatter-keyunknown frontmatter key "storage"
Process rating: all ten parameters 35/100
Will not run. References files that are not bundled: references/*.md, scripts/lib/{kline,indicators}.py
- 0Tools and files. 2 referenced file(s) missing: references/*.md, scripts/lib/{kline,indicators}.py
- 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
- 100Steps. 19 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1010 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
- -31 of 2 scripts are never mentioned in SKILL.md
- +2Single-language instructions
- +3Description length 217: enough signal without eating the budget
- +4Structure: 10 headings
- +3Step-by-step instructions: 19 items
- +4Has examples (1 code blocks)
- +4Reference files are cited in the instructions (3 of 3)
- +1License stated
Quality base 70; lint remarks subtract, signals add up to 100. Result: 63.
External checks
ClawHub: clean
This stock-analysis skill is a disclosed market-analysis orchestrator that fetches public stock data and stores local reports, with some documentation and install-supply-chain caveats users should review.
LLM: benign (medium) · VirusTotal: · 22 Jul 2026