BC concept-validation-tech-validation-engine
概念验证中心技术验证引擎。当用户需要验证技术可行性、评估TRL等级、设计技术验证方案、进行多路线并行对比时使用。本技能是验验（技术验证师）的核心工具，支持TRL 1-4阶段的技术成熟度评估、3维轻一致性验证、技术风险识别。适用于技术方案评估、原型验证设计、技术路线对比等场景。与中试基地工艺熟化引擎（TRL 5-7）形成衔接，概念验证阶段结束后交付技术验证报告。
概念验证中心技术验证引擎。当用户需要验证技术可行性、评估TRL等级、设计技术验证方案、进行多路线并行对比时使用。本技能是验验（技术验证师）的核心工具，支持TRL 1-4阶段的技术成熟度评估、3维轻一致性验证、技术风险识别。适用于技术方案评估、原型验证设计、技术路线对比等场景。与中试基地工艺熟化引擎（TRL…
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: 3. 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. 11 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 3060 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
- -214 emoji in the instructions: noise for the model
- -41 reference files, but SKILL.md never points to them: the model will not open them
- +1No license
- +2Single-language instructions
- +3Description length 181: enough signal without eating the budget
- +4Structure: 24 headings
- +3Step-by-step instructions: 11 items
- +4Has examples (10 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 66.