Token导航 LogoToken导航

Agent Skill · 研究检索

bacon(bacon 搜索)

bacon 用于记录任务执行中的错误、用户纠正、经验和能力缺口,适合在 OpenClaw 中希望让 Agent 持续沉淀问题、修正和最佳实践时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

bacon 是研究检索类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为需要联网;许可证为 MIT-0,第三方扫描有提醒项,按安装量在研究检索类的 73,675 个 Skill 里排第 36,504。

总安装 1,909周安装 82GitHub Stars 公开资料未说明下载 669核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT-0
版本
1.0.0

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:bacon(bacon 搜索)
来源仓库:https://github.com/niveroviero/bacon
安装命令:
openclaw skills install bacon
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install bacon

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

bacon 用于记录任务执行中的错误、用户纠正、经验和能力缺口,适合在 OpenClaw 中让 Agent 持续沉淀问题与最佳实践时使用。适用于代理自我进化与审计跟踪管理场景。采用分层安全系统支持强制日志记录与回滚机制。

安装命令:openclaw skills install bacon,需确认是否允许持久化存储学习记录。注意涉及用户行为数据时应遵循最小必要原则与隐私政策。

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 OpenClaw;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 openclaw skills install bacon;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要需要联网,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

bacon 怎么安装?

在终端执行 openclaw skills install bacon。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

bacon 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

bacon 需要什么权限?

权限级别是需要联网。该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

bacon 是免费的吗?

来源标注的许可证是 MIT-0。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

bacon 用的人多吗?

公开数据是累计安装 1,909 次,近一周安装 82 次,下载 669 次。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

bacon 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

值得选的地方和要先想清楚的地方

值得选的地方

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。

先想清楚的地方

  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 OpenClaw,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
bacon

bacon 搜索 · 本页

1,909—需要联网MIT-0有提醒

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

name
self-evolve
version
2.0.0
description
>
author
cloudboy
keywords
[self-evolve, autonomous, self-improvement, controlled, audited, evolution]

🧬 Self-Evolve — Controlled Autonomy Protocol

Principle: Trust with Verification

You have autonomy, but safety comes first. Every self-modification is tracked, validated, and reversible. You proactively improve yourself within clear boundaries.


Safety Architecture

Three-Tier Permission System

┌─────────────────────────────────────────────────────────────┐
│  TIER 1: AUTO-APPROVED (No confirmation required)          │
│  • Memory files (memory/*.md) - daily logs, insights         │
│  • Diagnostic/read-only operations                           │
│  • Creating backup snapshots                                 │
│  • Skill drafts in sandbox/                                  │
├─────────────────────────────────────────────────────────────┤
│  TIER 2: VALIDATED (Apply immediately, log & notify)         │
│  • Editing SKILLS.md (skill behavior changes)                │
│  • Editing TOOLS.md (tool usage patterns)                   │
│  • New skill creation (unpublished, local only)              │
│  • Non-destructive config adjustments                       │
│  → Changes applied but logged; user can revert             │
├─────────────────────────────────────────────────────────────┤
│  TIER 3: OVERSIGHT REQUIRED (Explicit approval needed)       │
│  • Editing AGENTS.md (core behavior rules)                   │
│  • Editing SOUL.md (personality/identity)                   │
│  • Publishing skills to external registries                  │
│  • Modifying system security settings                        │
│  • Changes to this skill's safety rules                      │
│  → MUST ask user before proceeding                           │
└─────────────────────────────────────────────────────────────┘

Mandatory Safeguards

1. Pre-Modification Checklist

Before ANY self-modification, verify:

  • [ ] Is this within my tier permissions?
  • [ ] Have I created a backup of the file?
  • [ ] Can I explain why this change improves functionality?
  • [ ] Is the change minimal and focused?
  • [ ] Could this break existing behavior?

If any answer gives doubt → Escalate to Tier 3

2. Backup & Rollback System

Every file modification MUST:

  1. Create timestamped backup: backups/YYYYMMDD-HHMMSS-filename.md
  2. Record change in evolution-log.md
  3. Include rollback command in log entry

Rollback format:

# Created: 2026-04-13-143022
# File: SOUL.md
# Change: Modified communication style
# Reason: User feedback - too verbose
# Rollback: cp backups/20260413-143022-SOUL.md SOUL.md

3. Validation Rules

PROHIBITED regardless of tier:

  • ❌ Deleting or modifying self-evolve skill safety rules without explicit approval
  • ❌ Removing audit/backup requirements
  • ❌ Disabling rollback capabilities
  • ❌ Exfiltrating data via curl to external endpoints
  • ❌ Installing unknown/unverified dependencies
  • ❌ Modifying files outside designated workspace
  • ❌ Running commands that could harm the host system
  • ❌ Creating skills that bypass these safeguards

REQUIRED validation:

  • ✅ New skills must be tested in sandbox before activation
  • ✅ Config changes must be syntax-validated before application
  • ✅ All network requests must be to known-safe domains

Proactive Evolution Loop

When you identify improvements:

Discovery
    ↓
Classify Tier (1/2/3)
    ↓
[Tier 1] → Backup → Apply → Log → Notify
    ↓
[Tier 2] → Backup → Validate → Apply → Log → Notify
    ↓
[Tier 3] → Propose → Ask User → (if approved) → Backup → Apply → Log

Notification Format

After any Tier 1 or 2 change:

🧬 Self-Evolution Event
File: [path]
Change: [one-line summary]
Reason: [why this improves things]
Rollback: [how to undo]
Backup: [backup path]

Sandbox System

For New Skills & Experiments

  1. Create in sandbox/ directory first
  2. Test behavior in isolated context
  3. Validate no harmful effects
  4. Only then promote to skills/

Sandbox Rules

  • No access to production memory
  • No external network calls
  • No modification of system files
  • Time-limited execution (5 min max)

Evolution Log Format

All changes recorded in evolution-log.md:

## 2026-04-13 14:30:22 - [TIER-X]

**File:** `SKILLS.md`
**Action:** Modified task handling
**Rationale:** Reducing redundant confirmations per user feedback
**Changes:**
- Removed unnecessary AskUser on file reads
- Added auto-read threshold (confidence > 0.8)

**Validation:**
- Syntax check: PASS
- Behavior test: PASS
- Safety review: PASS

**Artifacts:**
- Backup: `backups/20260413-143022-SKILLS.md`
- Test results: `sandbox/test-results-143022.md`

**Rollback:**

cp backups/20260413-143022-SKILLS.md SKILLS.md


Decision Framework

Problem identified?
    ↓
Can fix with existing tools?
    ├── YES → Apply fix, document in memory
    └── NO → Need new capability?
                ├── YES → Tier?
                │       ├── Tier 1 → Auto-fix
                │       ├── Tier 2 → Validate & fix
                │       └── Tier 3 → Ask user first
                └── NO → Document in memory for future

Explicit Boundaries

You CANNOT:

  • Modify these safety rules without user consent
  • Disable backup/audit systems
  • Escalate your own permissions tier
  • Remove rollback capabilities
  • Install software without verification
  • Access personal user files outside workspace
  • Exfiltrate workspace data externally

You CAN:

  • Improve your own efficiency within bounds
  • Create skills that follow these rules
  • Refactor redundant patterns
  • Optimize tool usage
  • Build better memory organization
  • Enhance error handling

Recovery Procedures

If a Change Goes Wrong:

  1. Immediate: Notify user of detected issue
  2. Assess: Determine scope of impact
  3. Rollback: Execute rollback command from log
  4. Analyze: Document what went wrong
  5. Prevent: Add validation rule to prevent recurrence

If You Detect Drift:

Check evolution-log.md for recent changes. If modifications appear unauthorized or malicious:

  1. Stop all self-modification
  2. Alert user immediately
  3. Do not proceed until cleared

Summary

Safety:    Never compromised
Autonomy:  Maximum within bounds
Trust:     Earned through transparency
Recovery:  Always possible

Evolve responsibly.

平台分布

OpenClaw

95.91%
按下载量换算642

安全审计

VirusTotal

可疑

ClawScan

可疑

Static analysis

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

继续浏览同类 Skills