evidence-gap-mapper

What This Skill Does

证据缺口绘图师 (Evidence Gap Mapper) is an analytical AI agent skill designed to audit professional documents, proposals, and presentations. It acts as an objective quality assurance reviewer that identifies instances of "conclusions preceding evidence"—a common cognitive bias in business writing. The skill systematically parses text to highlight unsupported claims, evaluates the strength of existing evidence, and produces a structured roadmap for strengthening arguments. By utilizing this tool, users can transform speculative content into well-supported, defensible professional artifacts.

Installation

To install this skill, use the ClawHub CLI in your terminal: clawhub install openclaw/skills/skills/52yuanchangxing/evidence-gap-mapper Ensure your local environment has access to the standard resource directory structure required for template mapping and configuration as defined in the source repository.

Use Cases

• Management Consulting: Identifying weak links in strategic proposals before they are presented to stakeholders.
• Research Validation: Auditing academic or industry research drafts to ensure data parity between key claims and cited sources.
• Risk Management: Highlighting unsubstantiated assumptions in project planning documents that could lead to operational failure.
• Investor Relations: Strengthening pitch decks by proactively patching evidence gaps that auditors or investors are likely to challenge.

Example Prompts

1. "Here is my market expansion plan for Q3. Please identify any assertions that lack data support and suggest a prioritization for finding new evidence."
2. "Review this research summary. I need a gap analysis report: where are my conclusions outpacing my facts, and what is the most critical item to fix first?"
3. "Analyze the following draft and provide a 're-drafting' plan that offers more conservative phrasing for unsupported claims."

Tips & Limitations

• Prioritization Logic: The skill provides a ranking for evidence gathering based on the risk level of the conclusion. Focus on claims with the highest impact first.
• Avoid Fabrications: This tool is explicitly designed not to generate fake data. It will flag a gap, not hallucinate a source.
• Privacy: As a read-only auditing tool, it does not modify your original files directly. Always review the output before applying changes to your master document.
• Assumptions: Do not ignore high-risk assumptions. If the tool identifies a flaw in your core logical premise, address the underlying assumption before searching for supplementary evidence.