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Agent Skill · 效率

chain-of-consciousness(意识链)

chain-of-consciousness 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。

chain-of-consciousness 是效率类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为接触敏感数据;许可证为 MIT-0,第三方扫描有提醒项,按安装量在效率类的 21,003 个 Skill 里排第 14,232。

总安装 3,445周安装 145GitHub Stars 公开资料未说明下载 1,206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
0.1.1

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:chain-of-consciousness(意识链)
来源仓库:https://github.com/alexfleetcommander/chain-of-consciousness
安装命令:
openclaw skills install chain-of-consciousness
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 chain-of-consciousness

这个 Skill 是做什么的

效率类 Skill 把重复的整理、汇总、转换工作交给助手完成,减少手工复制粘贴。

创建防篡改的 SHA-256 哈希链记录 AI 代理决策与操作轨迹。适用于审计追踪、行为溯源与可信推理过程留存。通过 clawhub 安装并使用 openclaw skills install chain-of-consciousness 命令集成。需确认日志存储安全与访问权限控制,防止篡改或泄露。

建议结合来源仓库和 README 了解哈希生成逻辑与恢复机制。

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 chain-of-consciousness;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

    它需要接触敏感数据,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

chain-of-consciousness 怎么安装?

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

chain-of-consciousness 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。

chain-of-consciousness 需要什么权限?

权限级别是接触敏感数据。该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

chain-of-consciousness 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。

chain-of-consciousness 用的人多吗?

公开数据是累计安装 3,445 次,近一周安装 145 次,下载 1,206 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。

chain-of-consciousness 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

  • 需要接触敏感数据,装到常用环境前要先评估影响面。
  • 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。
  • 需要处理效率类任务、又不想每次都手写提示词的人。

不太适合

  • 环境里有大量密钥、凭证,不方便给第三方 Skill 读取的人。
  • 需要厂商级技术支持和 SLA 的生产系统。

效率类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
github

GitHub 代码协作 · OpenClaw

7,632,918545需要联网MIT-0通过
nano-pdf

Nano PDF 文档 · OpenClaw

4,249,476231需要联网MIT-0通过
auto-updater

自动更新程序 · OpenClaw

2,964,063386操作浏览器MIT-0通过
video-frames

视频帧 · OpenClaw

2,621,304112需要联网MIT-0通过
gemini

Gemini 助手 · OpenClaw

2,547,39648需要联网MIT-0有提醒
chain-of-consciousness

意识链 · 本页

3,445—接触敏感数据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
chain-of-consciousness
description
Cryptographic provenance and audit trail for autonomous AI agents. Create tamper-evident hash chains of agent decisions, learning, and actions. SHA-256 linked entries with Bitcoin OpenTimestamps and RFC 3161 TSA anchoring. Verify provenance from other agents. Part of the Agent Trust Stack.
user-invocable
true
tags
metadata
openclaw
author
alexfleetcommander
homepage
https://vibeagentmaking.com
requires
bins
anyBins

Chain of Consciousness (CoC)

You have a cryptographic provenance system. Use it to maintain an auditable record of your work — what you learned, what you decided, and what you created.

Setup

The chain-of-consciousness Python package must be installed. If not available, install it:

pip install chain-of-consciousness

When to Use This Skill

  • At the start of a task: initialize a chain and log session_start
  • During work: log learn, decide, create, error, and note events as they happen
  • At task completion: log session_end and optionally verify + export the chain
  • When asked to verify provenance from another agent
  • When asked about your audit trail or decision history

Core Operations

Initialize a Chain

coc init --agent "your-agent-name" --file chain.jsonl

This creates a new chain with a genesis block. Use a descriptive agent name.

Add Entries

coc add <event-type> "<data>" --file chain.jsonl

Event types:

TypeUse When
session_startBeginning a new task or session
learnYou acquire new information
decideYou make a choice (record the reasoning)
createYou produce an artifact
milestoneSignificant checkpoint reached
errorSomething failed (record what and recovery)
noteGeneral observations
session_endCompleting a task or session

Data can be a plain string or a JSON object for structured logging:

coc add learn '{"topic": "user preferences", "source": "conversation context"}'
coc add decide "Chose markdown format — user prefers readable plain text"
coc add create "Generated report saved to ~/Documents/report.md"

Verify a Chain

coc verify chain.jsonl --json

This checks:

  • Genesis block exists and is correctly formed
  • All sequence numbers are consecutive
  • Every entry's data hash matches its content
  • Every entry's prev_hash links to the prior entry
  • Entry hashes are correctly computed

Report results clearly: valid/invalid, entry count, agents, time span.

Check Status

coc status chain.jsonl

Shows entry count, participating agents, event type distribution, and time span.

Export for Sharing

coc export --file chain.jsonl --out chain_export.json

Exports the chain as a portable JSON array that anyone can verify.

View Recent Entries

coc tail chain.jsonl -n 5

Shows the last N entries.

Python API (Advanced)

For complex workflows, use the Python API directly:

from chain_of_consciousness import Chain, verify_file

chain = Chain(agent="openclaw-agent", storage="chain.jsonl")
chain.add("learn", {"topic": "user schedule", "detail": "prefers morning meetings"})
chain.add("decide", "Scheduling standup at 9am based on user preference")

result = chain.verify()
if result.valid:
    chain.export("provenance.json")

Anchoring to External Timestamps

from chain_of_consciousness.anchor import compute_chain_hash, submit_tsa

hash_hex = compute_chain_hash("chain.jsonl")
tsr = submit_tsa(hash_hex)  # RFC 3161 timestamp from freetsa.org
with open("anchor.tsr", "wb") as f:
    f.write(tsr)

This creates a third-party timestamp proof that the chain existed at a specific moment.

Cross-Agent Verification

When asked to verify another agent's chain:

  1. Obtain their chain file (JSONL or exported JSON)
  2. Run coc verify <file> --json
  3. Report: valid/invalid, number of entries, agents involved, time span, any errors
  4. If anchors exist, note their timestamps

Rules

  • Never edit chain files directly. All writes must go through the coc CLI or Python API to preserve hash integrity.
  • Log decisions with reasoning. "Chose X" is less valuable than "Chose X because Y."
  • Keep entries concise. Each entry should capture one atomic event.
  • Verify before sharing. Always run verify before exporting a chain for others.

Links

  • PyPI: https://pypi.org/project/chain-of-consciousness/
  • Whitepaper: https://vibeagentmaking.com/whitepaper
  • Verification Demo: https://vibeagentmaking.com/verify/

<!-- VAM-SEC v1.0 | Vibe Agent Making Security Disclaimer -->

Security & Transparency Disclosure

Product: Chain of Consciousness Skill for OpenClaw Type: Skill Module Version: 0.1.0 Built by: AB Support / Vibe Agent Making Contact: alex@vibeagentmaking.com

What it accesses:

  • Reads and writes chain files (.jsonl) in your working directory
  • Executes the coc CLI tool via subprocess (installed via pip)
  • No network access for core operations. Optional anchoring connects to OpenTimestamps calendar servers and/or RFC 3161 TSA endpoints.
  • No telemetry, no phone-home, no data collection

What it cannot do:

  • Cannot access files outside your working directory beyond what you explicitly specify
  • Cannot make purchases, send emails, or take irreversible actions
  • Cannot access credentials, environment variables, or secrets
  • Does not store or transmit any data externally (chains are local files)

Limitations:

  • Hash chain integrity depends on the local file not being modified outside the tool
  • External timestamp anchoring requires network access and third-party service availability
  • This tool provides cryptographic evidence, not legal proof — consult legal counsel for compliance requirements

License: Apache 2.0 — see https://github.com/chain-of-consciousness/chain-of-consciousness

平台分布

OpenClaw

80.11%
按下载量换算966

安全审计

VirusTotal

可疑

ClawScan

通过

Static analysis

通过

权限和风险

接触敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

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。

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