AD stock-research-team
股票分析技能（v4 简化版）。主 agent 单 agent 快速模式：westock-data 采集数据 + minimax__web_search 实时资讯（含🛡️ 监管/处罚/政策 hard rule）+ 综合建议。覆盖 A 股 / 港股 / 美股。Fork of `stock-research-team` (charonling, 1.0.0) 并大幅简化——不再支持多 agent 流水线。
股票分析技能（v4 简化版）。主 agent 单 agent 快速模式：westock-data 采集数据 + minimaxwebsearch 实时资讯（含🛡️ 监管/处罚/政策 hard rule）+ 综合建议。覆盖 A 股 / 港股 / 美股。Fork of stock-research-team…
As a process D 41/100 · 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: 6. 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 41/100
- 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 (stock-research-team) differs from the folder (tanteng-stock-research)
- 60Tools and files. Uses tools (web) that frontmatter does not declare
- 100Steps. 13 steps
- 100Execution cost. Instruction body is 593 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
- +1No license
- +2Single-language instructions
- +3Description length 202: enough signal without eating the budget
- +4Structure: 10 headings
- +3Step-by-step instructions: 13 items
- +4Has examples (3 code blocks)
- +4Reference files are cited in the instructions (3 of 4)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 76.