BC bid-related-party-expert
投标企业关联关系识别专家（基于公开工商信息版）。当用户需要识别多个投标主体之间是否存在法定禁止的关联投标——单位负责人为同一人、控股或直接管理关系（依据《招标投标法实施条例》第34条、《政府采购法实施条例》第18条），使用本技能。专注工商登记层面信息（法定代表人/负责人、股东及持股、股权穿透、董监高、注册/经营地址、联系电话/邮箱等），不分析投标行为痕迹与串标行为（第39/40条不在本技能范围）。可在争议点参考 IMA 知识库复核口径与类案。仅输出评审参考，不替代法定认定。
投标企业关联关系识别专家（基于公开工商信息版）。当用户需要识别多个投标主体之间是否存在法定禁止的关联投标——单位负责人为同一人、控股或直接管理关系（依据《招标投标法实施条例》第34条、《政府采购法实施条例》第18条），使用本技能。专注工商登记层面信息（法定代表人/负责人、股东及持股、股权穿透、董监高、注册/经营地址、…
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: 1. 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") - note
frontmatter-keyunknown frontmatter key "agent_created"
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. 84 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 3510 tokens
- 100Running it twice. No mutating operations
- low 21 top-level sections: this looks like several domains in one skill
- low The response is described with custom markup (42 tags): a typed call is more reliable
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 239: enough signal without eating the budget
- +4Structure: 38 headings
- +3Step-by-step instructions: 84 items
- +4Reference files are cited in the instructions (4 of 4)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 71.