BF AI-Powered Stock Selection Engine
AI-powered intelligent stock selection engine for China A-share market — covers quantitative factor screening, fundamental analysis ranking, technical signal detection, sector rotation analysis, and portfolio construction. Built for retail investors, fund managers, and quantitative analysts. Updated 2026 with latest factor models, short-seller vulnerability detection, and AI-enhanced stock screening. Keywords: stock selection, quantitative screening, factor investing, technical analysis, China A-share, stock picker, AI investing, 选股引擎, 量化选股, 因子投资, 技术分析, A股, 智能选股, 选股策略, 量化策略, AI选股, 股票筛选, 价值投资, 成长股, 短线选股.
As a process F 34/100 · Will not run — weak spots: steps, result and completion, when it triggers
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: 2. 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 3, column 14: description: AI-powered intelligent stock selection engine for China A-share ma… ^ ); fields were read line by line. The usual cause is a colon inside an unquoted value - warning
name-formatname should be kebab-case (lowercase letters, digits, hyphens) - warning
description-no-whendescription does not say WHEN to use the skill (no "use when") - note
frontmatter-keyunknown frontmatter key "slug"
Process rating: all ten parameters 34/100
- 0Steps. Prose only: no discrete steps
- 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
- 40Consistency. Frontmatter name (AI-Powered Stock Selection Engine) differs from the folder (security-stock-picker)
- 100Tools and files. No external tools needed
- 100Execution cost. Instruction body is 3718 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)
- +3No numbered steps or checklist
- +3Output format is not stated: the model decides each time
- +1No license
- +2Single-language instructions
- +3Description length 610: enough signal without eating the budget
- +4Structure: 12 headings
- +4Has examples (8 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 53.