BD 招采萝卜坑识别专家 · 招标文件量身定制扫描
投标人侧「招标文件萝卜坑（排他性/歧视性/量身定制）专项识别」独立技能：扫描整份招标文件（投标人须知+资格条件+技术参数与服务要求+评标办法+合同条款），用多维信号标尺提取疑似为特定供应商量体裁衣的条款，输出风险等级+法条方向+质疑/投诉弹药。与投标模拟评标解耦、可单独触发；含输入预检、分章节定位、无脚本降级、法条核验声明、禁编造证据/禁断言废标/不教唆缠诉护栏。
投标人侧「招标文件萝卜坑（排他性/歧视性/量身定制）专项识别」独立技能：扫描整份招标文件（投标人须知+资格条件+技术参数与服务要求+评标办法+合同条款），用多维信号标尺提取疑似为特定供应商量体裁衣的条款，输出风险等级+法条方向+质疑/投诉弹药。与投标模拟评标解耦、可单独触发；含输入预检、分章节定位、无脚本降级、法条核…
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: 13. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
name-formatname should be kebab-case (lowercase letters, digits, hyphens) - 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
- 30Running it twice. 1 mutating operations with no state check
- 40Consistency. Frontmatter name (招采萝卜坑识别专家 · 招标文件量身定制扫描) differs from the folder (bid-carrot-pit-1-0-0)
- 100Tools and files. No external tools needed
- 100Steps. 39 steps
- 100Execution cost. Instruction body is 2100 tokens
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
- -221 emoji in the instructions: noise for the model
- +1No license
- +2Single-language instructions
- +3Description length 183: enough signal without eating the budget
- +4Structure: 16 headings
- +3Step-by-step instructions: 39 items
- +4Has examples (2 code blocks)
- +4Reference files are cited in the instructions (2 of 2)
- +3All 1 scripts are documented
Quality base 70; lint remarks subtract, signals add up to 100. Result: 72.