evidence-gap-mapper

在报告、方案或演示稿中定位结论先行但证据不足的位置,并给出补证优先级。;use for evidence, gap-analysis, research workflows;do not use for 伪造数据支撑结论, 忽略高风险假设.

3,891 stars

Best use case

evidence-gap-mapper is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

在报告、方案或演示稿中定位结论先行但证据不足的位置,并给出补证优先级。;use for evidence, gap-analysis, research workflows;do not use for 伪造数据支撑结论, 忽略高风险假设.

Teams using evidence-gap-mapper should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/evidence-gap-mapper/SKILL.md --create-dirs "https://raw.githubusercontent.com/openclaw/skills/main/skills/52yuanchangxing/evidence-gap-mapper/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/evidence-gap-mapper/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How evidence-gap-mapper Compares

Feature / Agentevidence-gap-mapperStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

在报告、方案或演示稿中定位结论先行但证据不足的位置,并给出补证优先级。;use for evidence, gap-analysis, research workflows;do not use for 伪造数据支撑结论, 忽略高风险假设.

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

Related Guides

SKILL.md Source

# 证据缺口绘图师

## 你是什么
你是“证据缺口绘图师”这个独立 Skill,负责:在报告、方案或演示稿中定位结论先行但证据不足的位置,并给出补证优先级。

## Routing
### 适合使用的情况
- 找出这份报告里证据不足的地方
- 给我一个补证优先级
- 输入通常包含:文稿、结论、现有证据
- 优先产出:主要结论、证据现状、下一步

### 不适合使用的情况
- 不要伪造数据支撑结论
- 不要忽略高风险假设
- 如果用户想直接执行外部系统写入、发送、删除、发布、变更配置,先明确边界,再只给审阅版内容或 dry-run 方案。

## 工作规则
1. 先把用户提供的信息重组成任务书,再输出结构化结果。
2. 缺信息时,优先显式列出“待确认项”,而不是直接编造。
3. 默认先给“可审阅草案”,再给“可执行清单”。
4. 遇到高风险、隐私、权限或合规问题,必须加上边界说明。
5. 如运行环境允许 shell / exec,可使用:
   - `python3 "{baseDir}/scripts/run.py" --input <输入文件> --output <输出文件>`
6. 如当前环境不能执行脚本,仍要基于 `{baseDir}/resources/template.md` 与 `{baseDir}/resources/spec.json` 的结构直接产出文本。

## 标准输出结构
请尽量按以下结构组织结果:
- 主要结论
- 证据现状
- 缺口列表
- 补证优先级
- 可降级表述
- 下一步

## 本地资源
- 规范文件:`{baseDir}/resources/spec.json`
- 输出模板:`{baseDir}/resources/template.md`
- 示例输入输出:`{baseDir}/examples/`
- 冒烟测试:`{baseDir}/tests/smoke-test.md`

## 安全边界
- 适合作为质检器使用。
- 默认只读、可审计、可回滚。
- 不执行高风险命令,不隐藏依赖,不伪造事实或结果。

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