BD cue-capital-operations
用 Cue 跑「资本运作」场景的深度研究：全量回溯上市公司的并购重组、股份回购、股权激励与分拆商机，多源公开数据交叉、深挖战略意图与市场影响，每个结论都带来源链接可回查。覆盖资本运作事件时间线、调研纪要解读、回购分红复盘等核心搭子，帮管理层、投行与投资者客观评价资本动作的市值贡献，并为未来回购、分红、并购决策提供数据支撑。
用 Cue…
As a process D 46/100 · 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: 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
- 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
- 60Tools and files. Uses tools (python) that frontmatter does not declare
- 100Steps. 17 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 551 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
- +2Single-language instructions
- +3Description length 162: enough signal without eating the budget
- +4Structure: 6 headings
- +3Step-by-step instructions: 17 items
- +4Has examples (1 code blocks)
- +1License stated
Quality base 70; lint remarks subtract, signals add up to 100. Result: 73.
External checks
ClawHub: clean
This skill is a disclosed Cue research workflow for public capital-markets research, with expected network use, runner setup, API-key use, and credit consumption called out.
LLM: benign (high) · VirusTotal: · 11 Aug 2026