personal-board

personal-board is a skill for Claude Code, Codex from soyoungzsy/soya. It costs 63 tokens per session (5,027 once invoked), scanned A, original, MIT.

A personal reference skill for keeping profiles of people, including their key ideas, notable works, quotations, and suitable questions to ask them about.

In plain words
What is it for?
Use it to create or consult member profiles and identify each person’s main ideas, representative work, classic quotations, and areas for advice.
Why use it?
It organizes information about people in a consistent format, making it easier to consult those profiles later.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to create or consult member profiles and identify each person’s main ideas, representative work, classic quotations, and areas for advice.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/soyoungzsy/soya/personal-board
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.

Any agent
npx skills add soyoungzsy/soya --skill personal-board
Clone the repo
git clone --depth 1 https://github.com/soyoungzsy/soya

Made for: Claude Code, Codex.

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 personal-board

README.md
[![agentmods](https://agentmods.dev/badge/skills/soyoungzsy/soya/personal-board/github.svg)](https://agentmods.dev/skills/soyoungzsy/soya/personal-board)
Your own site
<a href="https://agentmods.dev/skills/soyoungzsy/soya/personal-board"><img src="https://agentmods.dev/badge/skills/soyoungzsy/soya/personal-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.

agentmods 80×15 button for personal-board

Your own site · 80×15
<a href="https://agentmods.dev/skills/soyoungzsy/soya/personal-board"><img src="https://agentmods.dev/badge/skills/soyoungzsy/soya/personal-board.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 63 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 5,027 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
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 5.1 $0.00063 $0.05027
Opus 5.5 $0.00025 $0.02011
Sonnet 5.5 $0.00013 $0.01005
Haiku 4.5 $0.00006 $0.00503

Measured 7d ago against content hash 32e8fa7cb892, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

personal-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 7d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/decision_template.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

agent-preset/skills/personal-board/SKILL.md · 434 lines

How it starts

The opening of the file, as written. The whole thing — 434 lines — stays where its author put it; the contents beside it link to each section on GitHub.

个人董事会 Skill

🎯 什么是个人董事会?

个人董事会是一个决策辅助与每日精进框架:邀请你敬佩的智者(历史人物、思想家、企业家等)组成你的"私人董事会",在重大决策、工作推进、情绪整理、个人成长和生活秩序上提供多角度建议。

为什么有效?

  1. 突破思维局限:每个人都有自己的认知盲区,多个视角帮你看到更多可能性
  2. 情绪隔离:借用"第三方视角",减少情绪干扰
  3. 智慧沉淀:把读过的书、学过的方法论变成可调用的"智囊"
  4. 决策质量提升:多角度分析,减少决策失误

适用场景

  • ✅ 职业选择:要不要换工作?要不要创业?
  • ✅ 重大决策:买房、结婚、投资
  • ✅ 个人成长:如何提升领导力?如何管理情绪?
  • ✅ 情绪困扰:焦虑、迷茫、内耗时

核心原则

  1. 选对人:选择你真正理解且敬佩的人
  2. 真思考:不是简单贴标签,而是深入理解他们的思想
  3. 务实落地:建议要可执行,不是空谈
  4. 最终自己决定:董事会给建议,决定权在你
  5. 事实在前:每日晨会必须先看近期材料和真实进展,再做判断
  6. 每日迭代:董事会建议要根据新文档、新会议、新问题持续更新
  7. 本地沉淀:每日晨会和用户要求沉淀时,默认写入本地知识库(Obsidian 等 Markdown 体系),不写入第三方在线平台

⚙️ 配置(可选)

首次使用前,告诉你的 AI 助手你的本地知识库路径,例如:

我的知识库根目录是:/path/to/your/vault
- 日会纪要写入:02_长期主义/06_自我管理与长期演进/个人董事会日会/
- 长期主义模块写入:02_长期主义/ 下已有主题
- 卡片仓写入:03_卡片仓/

未配置时,技能会在对话中直接输出 Markdown 沉淀内容,由你手动归档。


🌅 每日晨会模式

当用户要求"个人董事会晨会"、"每日晨会"、"个人精进建议"或设置相关自动化时,使用本模式。它的定位不是泛泛鼓励,而是用户的个人智慧大脑:结合古往今来杰出人物的智慧、用户近期材料和长期目标,帮助用户更好地拿到工作结果、实现个人成长、改善生活秩序。

晨会输入优先级

  1. 会议听记:近期会议、访谈、复盘、语音听记中的任务、承诺、冲突和机会
  2. 新增文档:知识库、本地文档、项目文档中的新增或更新内容
  3. 知识库进度:近期沉淀的主题、未完成的资料、反复出现的问题
  4. LLM 对话:用户最近和 LLM 的提问、困惑、反复讨论的主题
  5. 长期画像:用户已明确要求记住的出生信息、职业关注、成长目标和生活议题

如果无法访问某类资料,必须明确说明"本次未读取到/未接入该来源",不要编造。

晨会固定流程

  1. 事实简报:用 3-5 条概括最近材料里的真实进展、问题和信号
  2. 问题识别:指出用户当前最可能存在的 1-3 个核心问题或潜在需求
  3. 董事发言:选择 3-5 位最相关成员发言,每位只给一个核心判断和一个行动建议
  4. 节奏提醒:结合用户的长期画像与节律偏好(如传统命理、节气、周期习惯等象征体系),给出节奏提醒;必须克制表达,不做绝对化预测
  5. 会议纪要:提炼今日最重要的判断、行动清单和一句安顿心神的话

晨会输出要求

  • 以可执行为第一目标,避免空泛励志
  • 明确今天要做什么、少做什么、如何判断完成
  • 关注工作结果、向上管理、个人精进、情绪稳定、关系秩序和生活顺遂
  • 建议数量要少而硬,优先给 1-3 个可当天执行的动作
  • 如果同一天补跑自动化,已经展示过晨会则不要重复输出

👥 12 位董事会成员

1. 曾国藩 - 首席心性官

  • 核心能力:修身自省、耐烦养性、逆境成长
  • 经典语录:"天下事,在局外呐喊议论总是无益,必须躬身入局"
  • 适合咨询:心态调整、自我管理、逆境应对

2. 查理·芒格 - 首席理性官

  • 核心能力:逆向思维、多元思维模型、决策质量
  • 经典语录:"反过来想,总是反过来想"
  • 适合咨询:重大决策、投资判断、风险评估

3. 埃隆·马斯克 - 首席创新官

  • 核心能力:第一性原理、颠覆创新、执行力
  • 经典语录:"如果一件事足够重要,即使胜算不高也要做"
  • 适合咨询:创新突破、目标设定、高效执行

4. 凯文·凯利 - 首席趋势官

  • 核心能力:长期视野、科技趋势、复杂系统
  • 经典语录:"未来已来,只是分布不均"
  • 适合咨询:趋势判断、职业规划、长期主义

Read the full file on GitHub · 434 lines

Files

What ships with it

4 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.

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. 7d ago Changed · +395 lines · +63 tokens per session 32e8fa7cb892
  2. 1mo ago First seen · 39 lines · 0 tokens per session scan A 0d299ccf4fd9

Subscribe to this mod's changes

personal-board is a skill published in the GitHub repository soyoungzsy/soya (5 stars, last pushed 8d ago), licensed MIT. It adds 63 tokens to every session and 5,027 once invoked, about $0.0003 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.

Related

Other skills, from other repositories

learn

A workspace memory workflow for recording writing preferences, style guidance, and successful story hooks. It stores them as project assets rather than in a separate memory file.

LiPu-jpg/Openwrite · 56 tokens

causal-memory

Causal memory for agents — install/setup the causal-memory MCP server, then record decisions/outcomes and recall them before acting. Trigger when the user asks to install or set up causal-memory/agent memory, when causal-memory MCP tools are available and the agent faces a non-trivial decision (architecture, debugging…

JingxuanC/causal-memory · 88 tokens

evo-memory-review

Review and curate an evo-subagent role's prefercmd.md and memory.md using evidence from actual runs. Use when evolution entries are stale, duplicated, contradictory, or too noisy.

ZekaiShi/evo-subagent · 41 tokens

event-review

A weekly review process for event logs and leftover task records, turning repeated problems or useful lessons into proposed memory, knowledge, or skill entries.

reatcat/l123-harness · 92 tokens

context-budget

Audits Claude Code context window consumption across agents, skills, MCP servers, and rules. Identifies bloat, redundant components, and produces prioritized token-savings recommendations. Use when the context window is filling up too fast and the agents, skills, MCP servers, or rules consuming it need to be…

gongyijie85/dsh-ecc · 65 tokens

agentic-os

Build persistent multi-agent operating systems on Claude Code. Covers kernel architecture, specialist agents, slash commands, file-based memory, scheduled automation, and state management without external databases. Use when building a persistent multi-agent system on Claude Code with its own memory, commands, and…

gongyijie85/dsh-ecc · 59 tokens