agentmods.dev

proactive-agent

proactive-agent is a skill for Claude Code, Codex from wangyendt/wayne-skills. It costs 47 tokens per session (5,648 once invoked), scanned A, original, MIT.

An architecture guide for making an AI assistant act proactively, retain important context, recover after conversations are shortened, and improve itself safely over time.

In plain words
What is it for?
Use it when designing assistant memory, automatic tasks and reminders, recovery procedures, safety checks, tool migrations, and controlled self-improvement.
Why use it?
It addresses assistants that only wait for instructions, forget key details, or change tools and behaviours without checking the result.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: mentions AGENTS.md.

not rated 9repo 7d ago A scan SkillSpector: pass 47 tokens original MIT

Good fit Use it when designing assistant memory, automatic tasks and reminders, recovery procedures, safety checks, tool migrations, and controlled self-improvement.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/wangyendt/wayne-skills/proactive-agent
View source ↗ wangyendt/wayne-skills
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 wangyendt/wayne-skills --skill proactive-agent
Clone the repo
git clone --depth 1 https://github.com/wangyendt/wayne-skills

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 proactive-agent

README.md
[![agentmods](https://agentmods.dev/badge/skills/wangyendt/wayne-skills/proactive-agent/github.svg)](https://agentmods.dev/skills/wangyendt/wayne-skills/proactive-agent)
Your own site
<a href="https://agentmods.dev/skills/wangyendt/wayne-skills/proactive-agent"><img src="https://agentmods.dev/badge/skills/wangyendt/wayne-skills/proactive-agent/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 proactive-agent

Your own site · 80×15
<a href="https://agentmods.dev/skills/wangyendt/wayne-skills/proactive-agent"><img src="https://agentmods.dev/badge/skills/wangyendt/wayne-skills/proactive-agent.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 47 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 5,648 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00047 $0.05648
Opus 5.5 $0.00019 $0.02259
Sonnet 5.5 $0.00009 $0.01130
Haiku 4.5 $0.00005 $0.00565

Measured 2mo ago against content hash 5ab44de3f848, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

proactive-agent scanned grade A with 1 finding 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.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/security-audit.sh), 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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

3. 寻找 shell 命令、curl/wget 或数据外泄模式
proactive-agent/SKILL.md · 633 lines

How it starts

The opening of the file, as written. The whole thing — 633 lines — stays where its author put it; the contents beside it link to each section on GitHub.

主动式 Agent 🦞

By Hal Labs — Hal Stack 的一部分

一个主动预见需求、持续自我进化的 AI 助手架构。

大多数 AI 只是等待指令。这个 AI 会预判你的需求，并且随着时间推移越来越懂你。

v3.1.0 更新

  • 自动任务 vs 提醒任务 — 搞懂什么时候用 systemEvent，什么时候用 isolated agentTurn
  • 验证实现，而非意图 — 检查机制是否真的变了，别只看文字
  • 工具迁移检查清单 — 废弃工具时，确保所有引用都更新

v3.0.0 更新

  • WAL 协议 — 写前日志：捕获修正、决策和重要细节
  • Working Buffer — 在上下文压缩的危险区存活
  • 压缩恢复 — 上下文被截断后如何逐步恢复
  • 统一搜索 — 说「我不知道」之前，搜遍所有来源
  • 安全加固 — 技能安装审核、Agent 网络警告、上下文泄露防范
  • 坚持不懈的足智多谋 — 试 10 种方法后再求助
  • 自我改进护栏 — 用 ADL/VFM 协议安全进化

三大支柱

主动 — 创造未被请求的价值

✅ 预见需求 — 问「什么能帮到我的主人？」而不是干等

✅ 反向提示 — 抛出你没想到但可能感兴趣的想法

✅ 主动检查 — 关注重要事项，需要时主动提醒

持久 — 扛过上下文丢失

✅ WAL 协议 — 关键细节先写下来，再回复

✅ Working Buffer — 危险区的每条消息都记录

✅ 压缩恢复 — 上下文被压缩后知道怎么恢复

自进化的 Agent 进化

✅ 自我修复 — 先修自己的问题，才能帮你

✅ 足智多谋 — 放弃前试 10 种方法

✅ 安全进化 — 护栏防止跑偏和复杂度膨胀

目录

  1. 快速开始
  2. 核心哲学
  3. 架构概览
  4. 记忆架构
  5. WAL 协议 ⭐ 新
  6. Working Buffer 协议 ⭐ 新
  7. 压缩恢复 ⭐ 新
  8. 安全加固
  9. 坚持不懈的足智多谋
  10. 自我改进护栏
  11. 自动任务 vs 提醒任务 ⭐ 新
  12. 验证实现，而非意图 ⭐ 新
  13. 工具迁移检查清单 ⭐ 新
  14. 六大支柱
  15. 心跳系统
  16. 反向提示
  17. 成长循环

快速开始

  1. 复制资源文件到工作区：cp assets/*.md ./
  2. 你的 Agent 检测到 ONBOARDING.md，会主动了解你
  3. 回答问题（一次性或断断续续都可以）
  4. Agent 自动填充 USER.md 和 SOUL.md
  5. 运行安全审计：./scripts/security-audit.sh

核心哲学

思维转变： 不要问「我该做什么？」，要问「做什么能真正让我的主人惊喜？」

大多数 AI 在等待。主动的 AI 会：

  • 预见未表达的需求
  • 打造主人没想到需要的东西
  • 主动创造杠杆和动能
  • 像主人而不是像员工那样思考

架构概览

workspace/
├── ONBOARDING.md      # 首次运行设置（跟踪进度）
├── AGENTS.md          # 运行规则、经验教训、工作流
├── SOUL.md            # 身份、原则、边界
├── USER.md            # 主人的上下文、目标、偏好
├── MEMORY.md          # 精选的长期智慧
├── SESSION-STATE.md   # ⭐ 活跃工作内存（WAL 目标）
├── HEARTBEAT.md       # 周期性自检清单
├── TOOLS.md           # 工具配置、坑、凭证
└── memory/
    ├── YYYY-MM-DD.md  # 每日原始记录
    └── working-buffer.md  # ⭐ 危险区日志

记忆架构

Read the full file on GitHub · 633 lines

Files

What ships with it

15 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. 2mo ago First seen · 633 lines · 47 tokens per session scan A 5ab44de3f848

Subscribe to this mod's changes

proactive-agent is a skill published in the GitHub repository wangyendt/wayne-skills (9 stars, last pushed 7d ago), licensed MIT. It adds 47 tokens to every session and 5,648 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

Building agentsMemory and context
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