AD enterprise-due-diligence
企业尽调技能。对目标企业进行法律、财务、业务三维度尽职调查，自动从公开数据源（企查查等）获取工商信息，结合用户提供的文档，生成结构化Word尽调报告和检查清单。支持双模板：轻量版（默认，5章公开信息初筛，快速背景调查）与基础版（7章完整尽调，投资/并购级）。适用场景：投资尽调、并购尽调、合作前背景调查、IPO前初步评估等。当用户提出'帮我做尽调'、'DD一下这家公司'、'企业背景调查'、'轻量版尽调'、'基础版尽调'、'due diligence'等需求时触发。
企业尽调技能。对目标企业进行法律、财务、业务三维度尽职调查，自动从公开数据源（企查查等）获取工商信息，结合用户提供的文档，生成结构化Word尽调报告和检查清单。支持双模板：轻量版（默认，5章公开信息初筛，快速背景调查）与基础版（7章完整尽调，投资/并购级）。适用场景：投资尽调、并购尽调、合作前背景调查、IPO前初步评…
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: 12. 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 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 (web, python) that frontmatter does not declare
- 100Steps. 145 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 2778 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
- +1No license
- +2Single-language instructions
- +3Description length 233: enough signal without eating the budget
- +4Structure: 59 headings
- +3Step-by-step instructions: 145 items
- +4Has examples (13 code blocks)
- +4Reference files are cited in the instructions (5 of 5)
- +3All 3 scripts are documented
Quality base 70; lint remarks subtract, signals add up to 100. Result: 78.