BC wiki-intent-scope
当用户提供客户需求、研究对象（词条/主题词）、业务意图、政府/企业研究需求、市场进入问题、可行性研究需求、排名/背书目标或政策/咨询报告需求时，用于 Wiki 研究项目的任务与决策场景界定。解析客户自由表述，内部调用 wiki-normalize，识别研究对象、管理问题、研究意图、研究口径、风险和待确认项，并输出聊天摘要、人类可读的 scope.md 与机器可读的 scope.json。
当用户提供客户需求、研究对象（词条/主题词）、业务意图、政府/企业研究需求、市场进入问题、可行性研究需求、排名/背书目标或政策/咨询报告需求时，用于 Wiki 研究项目的任务与决策场景界定。解析客户自由表述，内部调用…
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: 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 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. 70 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 969 tokens
- 100Running it twice. No mutating operations
- low 14 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
- +4No input/output examples
- +1No license
- +2Single-language instructions
- +3Description length 195: enough signal without eating the budget
- +4Structure: 15 headings
- +3Step-by-step instructions: 70 items
- +4Reference files are cited in the instructions (2 of 2)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 72.