Omd Council
多视角专家议会:宽解空间的设计/决策问题,经 omd dag_research(council 模式)并行多 persona 出方案 + 多 lens 择优;领域岔口走接地档(反 happy-path)。Trigger:/omd-council、开会审议、多方案对比、给我几个选项、拿不准选哪个。
Install
$ agentstack add skill-abysscn-oh-my-dag-omd-council ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Links to your public security report.[](https://agentstack.voostack.com/security/report/skill-abysscn-oh-my-dag-omd-council) Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
/omd-council — 多视角议会
宽解空间(多个合理方案、拿不准)别给平均答案——调 omd MCP dag_research(可能带 mcp__omd__ 前缀;未加载先 ToolSearch "dag_research"),council: true。解空间宽时一次性答案落在概率分布的平庸中心;多样 persona 把生成拉进不同专家区,多 lens judge 抵单评判偏见。diversity > volume,不是重采样 N 遍。
用法
question= 问题 + 你整理的上下文(现状/约束/已知选项);council: true;深题加super: true(全 framing × 全评判维度)。- 返回
{runId, reportPath, summary}——summary 进对话,全文在 reportPath(.omd/research/),关键决策 Read 报告看各 lens 冠军 + 评审细节,别只看 summary。 - 转述:冠军 + 为何胜 + 从亚军嫁接了什么(不是 N 选 1 裸结论)+ 你自己的判断(你有议会没有的对话上下文)。
三个 default lens(persona conditioning)
| lens | persona | angle | |---|---|---| | mvp | 务实交付型工程主管 | 最小可行切口,最快验证闭环,砍非核心 | | risk | 资深 SRE + 安全工程师 | 从失败模式/边界/不可逆点倒推,先堵风险 | | first-principles | 第一性原理思考者 | 重构问题本质,质疑前提,找最简结构 |
接地档(领域岔口 · 反 happy-path)
领域正确性岔口(会计/法务/运营)+ 真实世界脏乱 + 选错难逆 → 默认 lens 太泛,换四步:
- 市场先验(别假设):先用
dag_research(普通检索版,不开 council)查竞品/实务真实做法,当 persona 的硬证据基线。query 要短(长 query 检索零结果 → 拆焦点词)。 - 领域角色 persona:换题目真实角色——每天干这活的操作者 / 合规审计 / 自动化第一性 / 生命周期末端(如年底关账)。各角色独立并行判、不互看,都喂步骤 1 的硬证据(从事实吵不从 vibe)。
- 判据轴 = 反 happy-path 场景:明令用脏数据 · 并发 · 部分失败 · 跨边界 · 生命周期末端 · 量级膨胀去判每个选项(「auto-X 在年底会不会滚成噩梦」),否则 persona 也按 happy-path 答。
- judge 择优 + 嫁接:看共识(全票同向 = 强信号);冠军 + 嫁接正交亮点(最优解常是让争论变小,非选一项)。领域红线不下放(council 作输入,owner 终裁);收敛 owner 直觉的对内核,不硬否。
与既有 skill 的边界
- omd-council = 宽解空间横向铺宽多方案择优。纵向掘深单条决策线 → /omd-grill(岔口可 fire council);审已写代码 → /omd-review;根因调试 → /omd-debug。
- 单一明确解直接做;定型结论走 /omd-note 或 path_rule(/omd-rule)落盘。
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: AbyssCN
- Source: AbyssCN/oh-my-dag
- License: MIT
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.