BF stock-ai-analyzer
A股股票基本面投研分析方法论。当用户要求按股票名称或代码分析中国A股、判断公司成长性与核心亮点、评估估值阶段与隐含预期、分析财务质量与业务结构、判断股票是否处于当前市场主线内、做竞争格局分析或风险排查，或基于Tushare/公开市场数据生成股票基本面分析时使用。用户提问形式包括"帮我分析XX股票""XX的基本面怎么样""XX成长性如何""XX估值贵不贵""XX为什么值得买""XX是不是当前主线""XX所在行业景气度如何""XX管理层/创始人靠不靠谱""XX团队能不能兑现成长""XX治理有没有硬伤""用VC视角判断XX成长成功率"等。当用户要求"深度分析""深挖""把异常/业绩变化查清楚""读年报找线索""挖未被定价的看点"时，进入 Deep 模式（见 references/deep_mode.md）做命题先行的主动调研。该技能要求分析流程、判断框架、内容输出全部写在SKILL.md中；脚本只允许做原子数据获取、确定性扫描、状态持久化和只读 HTML 渲染，不允许替模型生成投资结论。
As a process F 31/100 · Will not run — References files that are not bundled: 原文URL
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.
- The text references files that are not there: add them or drop the references.
- 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: 38. 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 ≈ 6598 tokens (recommended < 5000); move details to references/ - warning
missing-refreference to a missing file: 原文URL
Process rating: all ten parameters 31/100
- 0Tools and files. 1 referenced file(s) missing: 原文URL
- 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
- 30Running it twice. 1 mutating operations with no state check
- 70Execution cost. Instruction body is 6598 tokens
- 100Steps. 123 steps
- 100Consistency. Name and required fields are in place
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
- -220 emoji in the instructions: noise for the model
- -310 of 14 scripts are never mentioned in SKILL.md
- +1No license
- +2Single-language instructions
- +5Description quotes 14 example trigger phrases
- +3Description length 447: enough signal without eating the budget
- +4Structure: 27 headings
- +3Step-by-step instructions: 123 items
- +4Has examples (7 code blocks)
- +4Reference files are cited in the instructions (7 of 7)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 60.