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opportunity-scorecard

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为产品想法取证并评分，判断值不值得继续验证。用户要评判想法、打分或判断机会（如「帮我给这个想法打个分」「这个机会值不值得做」）时调用；不发现机会、不写 PRD。综合分一律脚本机器产出。

skills/opportunity-scorecard/SKILL.md

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Nov 6, 2026
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MIT

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# Opportunity Scorecard · 机会评估

先读包内 `references/handoff.md`。数值评分需要 Python 3.9+，无第三方依赖。独立调用不要求雷达文件，也不自动启动 PRD。

版本口径（2026-10-16 起）：信封 schema 版本 0.2.0，由冻结的 `scripts/artifact_io.py` seal 出，代表信封结构；本 kit（技能包）版本 0.3.0，见 CHANGELOG.md。score.py 渲染卡片时信封写 0.2.0，不再用旧的 0.2.2——信封版本和 kit 版本不是一回事。

## 这个 kit 是什么

评估一个机会（雷达候选，或用户直给的一句话），把证据转成当前可执行的投入建议。默认十维量表面向个人产品；先判断适用性，再选择数值评分或定性评估。

> **AI 干语义活，脚本干确定性活。** AI 负责取证、判地基门、逐维给分、写申辩；`scripts/score.py` 负责校验契约、算加权综合分、定档、判黑马、渲染成卡。**综合分/verdict/dark_horse 一律脚本产出，禁止手心算**——这三个是下游机器读的接口。
> **它是自包含、可移植的**：支持用户材料或联网取证。独立数值评分显式使用 `--out` 或 `--stdout`，不因宿主恰有 iLoop 环境变量改变模式。量表适用但无 Python 时交付完整 JSON、等待本地复算。
> **输入**：雷达候选 `radar-<date>.md` 里的某条，或用户直给的机会描述。
> **输出**：量表适用时为 `assess-<topic>.md` 评分卡；不适用时为 `evaluation-<topic>.md` 定性评估。
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