BF zhiyu
使用“来自股市的猩猩”的公开内容所归纳出的技术派框架，分析A股指数、市场风格与行业板块，生成早评、午评、收评、周末策略或技术复盘。适用于用户要求判断短线方向、识别支撑压力、结合量价/K线/多周期结构/外围市场进行情景推演，或模仿其结论先行、点位明确、口语化的财经表达方式。不得冒充本人，不得声称复刻其未公开思想，也不得把输出表述为确定收益或个性化投资建议。
使用“来自股市的猩猩”的公开内容所归纳出的技术派框架，分析A股指数、市场风格与行业板块，生成早评、午评、收评、周末策略或技术复盘。适用于用户要求判断短线方向、识别支撑压力、结合量价/K线/多周期结构/外围市场进行情景推演，或模仿其结论先行、点位明确、口语化的财经表达方式。不得冒充本人，不得声称复刻其未公开思想，也不得…
As a process F 35/100 · Will not run — References files that are not bundled: references/source-map.md, references/method-and-style.md, references/corpus-findings.md
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.
- 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: 0. 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/source-map.md - warning
missing-refreference to a missing file: references/method-and-style.md - warning
missing-refreference to a missing file: references/corpus-findings.md
Process rating: all ten parameters 35/100
- 0Tools and files. 3 referenced file(s) missing: references/source-map.md, references/method-and-style.md, references/corpus-findings.md
- 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. 29 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 363 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
- +4No input/output examples
- +1No license
- +2Single-language instructions
- +3Description length 178: enough signal without eating the budget
- +4Structure: 6 headings
- +3Step-by-step instructions: 29 items
Quality base 70; lint remarks subtract, signals add up to 100. Result: 56.