BD 胡田-OPC导师-并购匹配
上市公司并购匹配技能，为技术成果转化场景提供A股+港股上市公司并购方识别、壳资源匹配、并购需求画像构建、赛道契合度评估、财务可行性分析等功能，支持技术项目快速匹配潜在并购方。
上市公司并购匹配技能，为技术成果转化场景提供A股+港股上市公司并购方识别、壳资源匹配、并购需求画像构建、赛道契合度评估、财务可行性分析等功能，支持技术项目快速匹配潜在并购方。
As a process D 47/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions
Proceduretype and topics are labelled automatically from the skill text
How to improve
- Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
- The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
For the model run — optional
- 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: 80. 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") - warning
body-longSKILL.md body ≈ 7048 tokens (recommended < 5000); move details to references/ - note
frontmatter-keyunknown frontmatter key "source"
Process rating: all ten parameters 47/100
- 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 (胡田-OPC导师-并购匹配) differs from the folder (hutian-opc-ma-match)
- 70Execution cost. Instruction body is 7048 tokens
- 100Tools and files. No external tools needed
- 100Steps. 11 steps
- 100Running it twice. No mutating operations
- low 12 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)
- +3Description length 87: 120–800 characters recommended
- +3Output format is not stated: the model decides each time
- -218 emoji in the instructions: noise for the model
- -43 reference files, but SKILL.md never points to them: the model will not open them
- +1No license
- +2Single-language instructions
- +4Structure: 69 headings
- +3Step-by-step instructions: 11 items
- +4Has examples (21 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 47.
External checks
ClawHub: suspicious
This M&A matching skill is mostly reference material, but it includes concrete shell-company targeting, contact lists, and advice to disguise buy-shell intent in a sensitive securities context.
LLM: suspicious (high) · VirusTotal: · 6 Jun 2026