Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add Chris1Wang3/Idea-on-Trial --skill opc-boardgit clone --depth 1 https://github.com/Chris1Wang3/Idea-on-TrialWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/chris1wang3/idea-on-trial/opc-board)<a href="https://agentmods.dev/skills/chris1wang3/idea-on-trial/opc-board"><img src="https://agentmods.dev/badge/skills/chris1wang3/idea-on-trial/opc-board/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/chris1wang3/idea-on-trial/opc-board"><img src="https://agentmods.dev/badge/skills/chris1wang3/idea-on-trial/opc-board.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00115 | $0.02209 |
| Opus 5 | $0.00057 | $0.01104 |
| Sonnet 5 | $0.00023 | $0.00442 |
| Haiku 4.5 | $0.00012 | $0.00221 |
Grade A, and why
opc-board scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 10d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 145 lines — stays where its author put it; the contents beside it link to each section on GitHub.
一人董事会 · OPC Board
EN Five advisors stress-test your solo idea → scored feasibility report + Go / No Go.
中文 五位顾问五维压测 → 带评分可行性报告 + Go / No Go。
When / 何时用： indie SaaS · open source · side project · 独立开发 / 开源 / 副业
Not / 不用： 从零写方案 · 上线后全面复盘 · 替用户拍板
Review my AI weekly newsletter SaaS idea
帮我评审一下我做的 AI 周报 SaaS
Say「用示例跑一下」/ "run with an example" for a demo input.
可直接触发的说法
以下口语输入都应触发本技能，不要求用户先写成商业计划：
- 这个想法靠谱吗？帮我拍砖。
- 一个人能不能做出这个产品？
- 我想做一个 XX 副业，值不值得投入？
- 帮我判断这个开源项目有没有长期维护价值。
- 我有个 SaaS 点子，帮我用五个顾问压测一下。
- 这个项目适合盈利、开源，还是只当实验？
- 帮我给这个 idea 一个 Go / No Go 结论。
最小可用输入
最低可启动：一句想法 + 项目目标（盈利/开源/实验三选一，缺失时先预填“实验”并询问确认）。
推荐输入：想法名称、目标用户、核心场景、项目目标、商业模式或可持续策略、冷启动渠道、技术栈、个人资源、输出格式、约束条件。
可兼容输入：
- 只有一句话：先提炼定位、用户、目标和核心假设，再输出采集清单。
- 只有产品名：不足以评分，先追问一句“它解决谁的什么问题”。
- 用户说“直接生成”：只跳过业务信息追问，用保守假设继续，缺失项按 1 分处理并标注 evidence；不视为跳过输出格式确认。
- 非盈利/开源项目：商业可持续维度按开源/社区维护替代子项评分，不直接判 0。
工作流
1) 用户提交想法
2) 输出信息采集清单（确认或"跳过"）
3) 识别项目目标 + 需求类型 + N/A 维度
4) 五顾问逐个质疑
5) 子项打分 → 权重归一化 → 综合分
6) 生成报告 + OPC 决策卡
信息采集清单（第 2 步）
预填已有信息；缺失标「待补充」；可说「跳过，直接生成」（跳过项保守分 1）。
1️⃣ 产品/想法名称 2️⃣ 核心定位 3️⃣ 项目目标（💰盈利/🌐开源/🧪实验）
4️⃣ 目标用户 5️⃣ 商业模式或可持续策略 6️⃣ 冷启动渠道
7️⃣ 技术栈 8️⃣ 资源现实 9️⃣ 约束条件 🔟 报告格式（📊HTML / 📝Markdown）
采集交互（优先使用可操作表单）：
- 必须复用 assets/intake-form.html，不得临时重写表单 UI。
- 通过
prefillURL 参数注入 URI 编码 JSON；推断值不得冒充确认值，输出格式保持未选。 - 宿主支持时内嵌，否则复制资产并用浏览器打开；提交后读取回传或用户粘贴的结构化参数。回传统一使用
{schema_version:"1.0", skill, action, data}；优先window.codex.submitForm，兼容window.openai.sendFollowUpMessage，最后复制 JSON。 - 仅当 HTML 无法使用时退回文本清单；格式未确认不得生成，用户明确委托默认时使用 HTML。
按身份追加：开发者→MVP/技术栈；创作者→粉丝/复购；咨询师→交付物/报价。行业增量：电商 · B2B SaaS · 金融科技（合规一票否决）。
五顾问 × 五维
| 顾问 | 主评 | 兼评 |
|---|---|---|
| 🛠️ 技术 | 独立可交付 | 逻辑自洽 |
| 📈 增长 | 增长可行 | 逻辑自洽 |
| 🎨 体验 | 增长可行 | 独立可交付 |
| 💰 商业 | 商业可持续 | 逻辑自洽 |
| ⚖️ 风险 | 风险可控 | 逻辑自洽 |
五维：逻辑自洽 · 独立可交付 · 增长可行 · 商业可持续 · 风险可控。每维 5 子项（0/1/2），公式见 scoring-engine-deterministic.md。工具：MoSCoW · North Star · CJM · Lean Canvas · Pre-Mortem。
What ships with it
6 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 10d ago First seen · 145 lines · 115 tokens per session scan A 228d6f14839f
opc-board is a skill published in the GitHub repository Chris1Wang3/Idea-on-Trial (4 stars, last pushed 22d ago), licensed MIT. It adds 115 tokens to every session and 2,209 once invoked, about $0.0006 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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