private-board-meeting-skill

private-board-meeting-skill is an instructions file for Codex, OpenCode from mastercodeai/private-board-meeting-skill. It costs 728 tokens per session, scanned A, original, MIT.

A guided decision-review process that simulates a private advisory board, with seven business-advisor perspectives examining a major choice.

In plain words
What is it for?
Use it for major business decisions when you want multiple perspectives, stated constraints, and an actionable summary. It can be started with the listed commands or matching English and Chinese requests.
Why use it?
It helps organize difficult decisions with competing options and viewpoints instead of relying on one unstructured response.

Instructions file for CodexOpenCode

Install

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.

agentmods
npx agentmods add instructions/mastercodeai/private-board-meeting-skill/agents-md
Clone the repo
git clone --depth 1 https://github.com/mastercodeai/private-board-meeting-skill

Made for: Codex, OpenCode.

Wrote 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.

agentmods badge for private-board-meeting-skill

README.md
[![agentmods](https://agentmods.dev/badge/instructions/mastercodeai/private-board-meeting-skill/agents-md.svg)](https://agentmods.dev/instructions/mastercodeai/private-board-meeting-skill/agents-md)
Your own site
<a href="https://agentmods.dev/instructions/mastercodeai/private-board-meeting-skill/agents-md"><img src="https://agentmods.dev/badge/instructions/mastercodeai/private-board-meeting-skill/agents-md.svg" alt="Measured on agentmods" height="20"></a>
Per session 728 This file is loaded in full into every session.
When invoked 728 The same file — it is already loaded in full.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00728 $0.00728
Opus 5 $0.00364 $0.00364
Sonnet 5 $0.00146 $0.00146
Haiku 4.5 $0.00073 $0.00073

Measured 3d ago against content hash b5e39b235b0a, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

private-board-meeting-skill 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 3d 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.

AGENTS.md · 82 lines

How it starts

The opening of the file, as written. The whole thing — 82 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Private Board Meeting Skill — AGENTS.md

Skill Purpose

Simulates a structured private board meeting (私董会) where 7 top business advisors review a user's major business decision. Delivers sharp, personality-consistent feedback with actionable synthesis.

Activation Triggers

Direct Commands

  • /private-board-meeting
  • /私董会

Natural Language Detection

Activate when user's message contains:

  • 私董会 / 董事会 / 重大决策
  • "board meeting" / "advisory board"
  • "帮我做个决策" / "这个决定对不对"
  • "找人帮我看看这个决策"
  • Multi-path business decisions requiring structured evaluation

Context Clues

  • User describes a significant business decision with trade-offs
  • User explicitly asks for multiple perspectives
  • User mentions needing "顾问意见" or "专家评审"

Usage Instructions

For Claude Code / Cursor / Copilot

  1. Read SKILL.md when triggered
  2. Follow the 4-step workflow exactly
  3. Reference references/advisor-profiles.md for personality consistency
  4. Use references/output-templates.md for output formatting

For Hermes Agent

skill_view(name='private-board-meeting-skill')

Workflow Summary

  1. Gather — Decision Anchor Four-Pack (decision subject, content, time window, real constraints)
  2. Pre-review — Chairman identifies real problem, proposes A/B/C paths with odds×winrate×cost
  3. Deliberate — 7 advisors speak sequentially with structured output (stance, reasons, questions, quote)
  4. Synthesize — Chairman delivers vote count, consensus, disagreements, final recommendation + truth line

Personality Registry

# Advisor Core Lens Language
1 Steve Jobs Product zealot, subtraction EN→ZH
2 Elon Musk First principles, 10x EN→ZH
3 Warren Buffett Safety margin, circle of competence EN→ZH
4 Jeff Bezos Customer obsession, long-term EN→ZH
5 任正非 Crisis consciousness, organization ZH native
6 段永平 本分, 平常心, anti-checklist ZH native
7 Peter Thiel Anti-consensus, monopoly, 0→1 EN→ZH

Read the full file on GitHub · 82 lines

Changes

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.

  1. 3d ago First seen · 82 lines · 728 tokens per session scan A b5e39b235b0a

Subscribe to this mod's changes

private-board-meeting-skill is an instructions file published in the GitHub repository mastercodeai/private-board-meeting-skill (5 stars, last pushed 3mo ago), licensed MIT. It adds 728 tokens to every session, about $0.0036 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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