BD 企业价值全面分析（价值投资进阶版）
涵盖行业周期、商业模式、护城河动态、业务结构、同业对比（≥3家）、近5年财务趋势、财务风格、管理层治理、资本配置、再投资潜力、绝对估值（DCF）、估值陷阱检查、催化剂、安全边际、核心风险、情景概率化等模块，要求最新年报季报数据，多图表可视化，输出HTML报告。
As a process D 49/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions
How to improve
- Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
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: 3. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- 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")
Process rating: all ten parameters 49/100
- 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
- 20When it triggers. No condition that starts the skill
- 40Consistency. Frontmatter name (企业价值全面分析（价值投资进阶版）) differs from the folder (my-skill-hub)
- 100Tools and files. No external tools needed
- 100Steps. 117 steps
- 100Execution cost. Instruction body is 1303 tokens
- 100Running it twice. No mutating operations
- low 18 top-level sections: this looks like several domains in one skill
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 130: enough signal without eating the budget
- +4Structure: 24 headings
- +3Step-by-step instructions: 117 items
Quality base 70; lint remarks subtract, signals add up to 100. Result: 63.
External checks
ClawHub: clean
This is a disclosed investment-research reporting skill made only of Markdown instructions, with no executable code, credentials, persistence, or hidden data handling.
LLM: benign (high) · VirusTotal: · 9 Jun 2026