AD wiki-framework-builder
在 research-task-scope-definition 之后使用，或当用户要求搭建咨询风格报告框架、行业报告大纲、可行性研究结构、市场进入框架、排名/背书报告框架、政府研究报告大纲、政策/咨询报告结构时使用。本技能消费 task-scope JSON 交接文件，选择并重组工程化研究维度，产出固定格式的对外 Word 报告框架、Markdown 报告框架和 JSON 沟通文件，并确保内部 L1-L5/D1-D8 路由不出现在面向客户的输出中。
在 research-task-scope-definition 之后使用，或当用户要求搭建咨询风格报告框架、行业报告大纲、可行性研究结构、市场进入框架、排名/背书报告框架、政府研究报告大纲、政策/咨询报告结构时使用。本技能消费 task-scope JSON 交接文件，选择并重组工程化研究维度，产出固定格式的对外…
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.
- 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: 8. 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. 77 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 836 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
- +4No input/output examples
- +1No license
- +2Single-language instructions
- +3Description length 227: enough signal without eating the budget
- +4Structure: 10 headings
- +3Step-by-step instructions: 77 items
- +4Reference files are cited in the instructions (4 of 4)
- +3All 1 scripts are documented
Quality base 70; lint remarks subtract, signals add up to 100. Result: 75.