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baconbacon 搜索

Agent Skill

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。

总安装

1,909

周安装

82

GitHub Stars

公开资料未说明

下载量

669
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

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

简介

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。

SKILL.md

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│  • New skill creation (unpublished, local only)              │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.

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

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 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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