BD halo
HALO V5.0 — A股可信基本面分析框架。Python锁定数据层（100%来自API，绝不编造），AI只做分析判断。 11维度评分：HALO六维（行业调整）+ 成长性 + 护城河 + 滞胀防御 + ESG + 管理层 + 资金面 + 估值 - 风险。 触发：用户要求分析A股股票时。用法：/halo <股票代码或名称>
HALO V5.0 — A股可信基本面分析框架。Python锁定数据层（100%来自API，绝不编造），AI只做分析判断。 11维度评分：HALO六维（行业调整）+ 成长性 + 护城河 + 滞胀防御 + ESG + 管理层 + 资金面 + 估值 - 风险。 触发：用户要求分析A股股票时。用法：/halo…
As a process D 46/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions
The same skill appears in 1 more place: ClawHub
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
description-no-whendescription does not say WHEN to use the skill (no "use when")
Process rating: all ten parameters 46/100
- 0Result and completion. Does not say what the result is
- 0Inputs and preconditions. Does not say what the process needs to start
- 0Progress reporting. Says nothing while it works
- 20When it triggers. No condition that starts the skill
- 40Consistency. Frontmatter name (halo) differs from the folder (halo-skill)
- 50Failures and branches. 0 branches, has a failure section
- 60Tools and files. Uses tools (python) that frontmatter does not declare
- 100Steps. 48 steps
- 100Execution cost. Instruction body is 2104 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
- -226 emoji in the instructions: noise for the model
- +1No license
- +2Single-language instructions
- +3Description length 162: enough signal without eating the budget
- +4Structure: 29 headings
- +3Step-by-step instructions: 48 items
- +4Has examples (7 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 70.