BD supplier-panorama-dd
供应商与企业全景尽调技能——以「企业全景背调（general_dd）」为主、附带「中标复核（winner_review）」的企业尽调引擎，面向招标/采购人审查供应商与中标企业。 默认通用背调模式：构建经营/创新/资本/产业链全景画像，输出综合实力评级（AAA~C）与场景化决策建议。 中标复核模式供发中标通知书前/签合同前核查中标企业合规黑历史与履约能力。 招投标维度的深度合规定级（围标串标/虚假材料/行政处罚/黑名单）建议转用「招投标合规风险尽调专家」专项技能。
供应商与企业全景尽调技能——以「企业全景背调（generaldd）」为主、附带「中标复核（winnerreview）」的企业尽调引擎，面向招标/采购人审查供应商与中标企业。 默认通用背调模式：构建经营/创新/资本/产业链全景画像，输出综合实力评级（AAA~C）与场景化决策建议。…
As a process D 49/100 · 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: 0. 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 "slug" - note
frontmatter-keyunknown frontmatter key "agent_created" - note
frontmatter-keyunknown frontmatter key "triggers" - note
frontmatter-keyunknown frontmatter key "parameters" - note
frontmatter-keyunknown frontmatter key "tools" - note
frontmatter-keyunknown frontmatter key "knowledge_bases"
Process rating: all ten parameters 49/100
- 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
- 40Consistency. Frontmatter name (supplier-panorama-dd) differs from the folder (supplier-panorama-dd-1-0-0)
- 100Tools and files. Tools declared in frontmatter
- 100Steps. 86 steps
- 100Execution cost. Instruction body is 2379 tokens
- 100Running it twice. No mutating operations
- low 11 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
- +1No license
- +2Single-language instructions
- +3Description length 233: enough signal without eating the budget
- +4Structure: 24 headings
- +3Step-by-step instructions: 86 items
- +4Has examples (1 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 69.