Borrowing it
Nothing to install: this file belongs to mastercodeai/private-board-meeting-skill. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/mastercodeai/private-board-meeting-skill/main/AGENTS.mdgit clone --depth 1 https://github.com/mastercodeai/private-board-meeting-skillWrote 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/instructions/mastercodeai/private-board-meeting-skill/agents-md)<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/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/instructions/mastercodeai/private-board-meeting-skill/agents-md"><img src="https://agentmods.dev/badge/instructions/mastercodeai/private-board-meeting-skill/agents-md.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 | $0.00728 | $0.00728 |
| Opus 5.5 | $0.00291 | $0.00291 |
| Sonnet 5.5 | $0.00146 | $0.00146 |
| Haiku 4.5 | $0.00073 | $0.00073 |
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 2mo 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 — 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
- Read
SKILL.mdwhen triggered - Follow the 4-step workflow exactly
- Reference
references/advisor-profiles.mdfor personality consistency - Use
references/output-templates.mdfor output formatting
For Hermes Agent
skill_view(name='private-board-meeting-skill')
Workflow Summary
- Gather — Decision Anchor Four-Pack (decision subject, content, time window, real constraints)
- Pre-review — Chairman identifies real problem, proposes A/B/C paths with odds×winrate×cost
- Deliberate — 7 advisors speak sequentially with structured output (stance, reasons, questions, quote)
- 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 |
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.
- 2mo ago First seen · 82 lines · 728 tokens per session scan A b5e39b235b0a
private-board-meeting-skill is an instructions file published in the GitHub repository mastercodeai/private-board-meeting-skill (5 stars, last pushed 5mo ago), licensed MIT. It adds 728 tokens to every session, about $0.0029 per session on Opus 5.5. 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.
Other instructions, from other repositories
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, cache eligibility and rollout and applying the notice (cutover).
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
vscode copilot-instructions.md
Copilot instructions for microsoft/vscode, covering vs code copilot instructions, project overview, root folders, core architecture (src/ folder) and built-in extensions (extensions/ folder).
deepseek-harness AGENTS.md
AGENTS.md instructions for deepseek-ai/deepseek-harness, covering agents.md, pre-stable apis and released session data, repository layout, commands and host sandbox failures.