AD chan-stock-analysis
缠论+基本面+财报+估值综合股票分析技能，生成专业投研报告（含 PDF）。 Use when: 用户提供股票代码，要求进行深度股票分析、缠论技术分析、基本面研究、财报解读、估值分析、综合投研报告。 NOT for: 实时行情播报、简单股价查询、非股票类金融分析。 触发词：缠论分析、股票分析报告、技术面+基本面、综合研究、投研报告、深度分析、估值分析、财报分析、买卖点分析
As a process D 45/100 · Unfinished process — weak spots: result and completion, inputs and preconditions, failures and branches
How to improve
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: 8. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
✓ No remarks against the Agent Skills spec
Process rating: all ten parameters 45/100
- 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
- 40Consistency. Frontmatter name (chan-stock-analysis) differs from the folder (chanlun-stock-analysis)
- 50When it triggers. No condition that starts the skill
- 60Tools and files. Uses tools (python) that frontmatter does not declare
- 100Steps. 118 steps
- 100Execution cost. Instruction body is 2432 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
- +3Output format is not stated: the model decides each time
- -212 emoji in the instructions: noise for the model
- +1No license
- +2Single-language instructions
- +4Description says when NOT to use the skill
- +3Description length 186: enough signal without eating the budget
- +4Structure: 17 headings
- +3Step-by-step instructions: 118 items
- +4Has examples (12 code blocks)
- +4Reference files are cited in the instructions (3 of 3)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 90.
External checks
ClawHub: clean
This is a disclosed stock research/report skill, with real financial and dependency risks but no evidence of hidden, destructive, or purpose-mismatched behavior.
LLM: benign (high) · VirusTotal: · 29 May 2026