BC vadeepresearch
系统化深度研究技能。适用于联网研究、市场分析、竞品分析、行业研究、技术调研、论文与开源项目梳理、报告写作前置调研、PPT/文档/方案生成前的信息搜集与深度分析。当用户提出深度分析xxx、帮我分析xxx、快速分析xxx、深度研究xxx、详细分析xxx等话术时使用该 skills。必须输出 Markdown（.md）文件，并提供下载地址或可直接打开的文件入口。
系统化深度研究技能。适用于联网研究、市场分析、竞品分析、行业研究、技术调研、论文与开源项目梳理、报告写作前置调研、PPT/文档/方案生成前的信息搜集与深度分析。当用户提出深度分析xxx、帮我分析xxx、快速分析xxx、深度研究xxx、详细分析xxx等话术时使用该 skills。必须输出…
As a process C 53/100 · Has gaps — 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.
- 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: 9. 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 53/100
- 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
- 100Tools and files. No external tools needed
- 100Steps. 134 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 3771 tokens
- 100Running it twice. No mutating operations
- low 13 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
- -44 reference files, but SKILL.md never points to them: the model will not open them
- +2Single-language instructions
- +3Description length 179: enough signal without eating the budget
- +4Structure: 35 headings
- +3Step-by-step instructions: 134 items
- +4Has examples (12 code blocks)
- +1License stated
Quality base 70; lint remarks subtract, signals add up to 100. Result: 69.