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Chatgpt Memory Extraction

作者 cyresearch · GitHub ↗ · v1.0.1 · MIT-0
cross-platform ✓ 安全检测通过
157
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当前安装
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版本数
在 OpenClaw 中安装
/install chatgpt-memory-extraction
功能描述
Extract structured personal memories from ChatGPT export data (conversations JSON). Produces organized timeline, people profiles, and thematic records by dee...
使用说明 (SKILL.md)

ChatGPT Memory Extraction

Transform ChatGPT conversation exports into a structured personal memory archive.

⚠️ For Users

AI agents cut corners on large text volumes. Review each batch. Praise quality, not speed.

Read quality rules for ChatGPT-specific pitfalls and known AI failure modes.

Workflow

  1. Prepare: User exports ChatGPT data:
    • Go to ChatGPT → Settings → Data controls → Export data → Confirm export
    • OpenAI will send an email when the export is ready (may take hours to days depending on data size)
    • Download the zip file from the email link (requires being logged into ChatGPT)
    • Unzip to get conversations-*.json files and other data
  2. Extract: Run scripts/extract_conversations.py to convert JSON → readable text files + conversation index
  3. Read & Write: Process one quarter at a time. Read every conversation fully. Write timeline per output-format.md. User reviews before proceeding. Split into monthly batches for 100+ conversations.
  4. Extract Dimensions: Update people files and topic files. Every person mentioned → their file updated.
  5. Incremental: On new exports, compare IDs, process only new content.

Output Structure

See output-format.md.

安全使用建议
This skill appears to do exactly what it says: parse your ChatGPT export JSON into local, readable files. Before running it: (1) review the included script yourself (it's short and local) to confirm it matches expectations; (2) run it on a copy of your export in a trusted/local environment (not a public machine) because extracted files will contain personal data; (3) back up the original export first; (4) avoid uploading extracted archives to third-party services unless you trust them; and (5) if you intend to clone a GitHub repo mentioned in the README, verify the repo's authenticity and that its contents match the code included with the skill.
功能分析
Type: OpenClaw Skill Name: chatgpt-memory-extraction Version: 1.0.1 The skill is a legitimate utility designed to help users organize their ChatGPT data exports into a structured personal archive. The included Python script (scripts/extract_conversations.py) processes local JSON files and converts them into readable text without any network activity, shell execution, or obfuscation. The instructions in SKILL.md and the quality guidelines in references/quality-rules.md are focused on improving the accuracy of the AI's summarization and preventing 'AI laziness' during data processing, with no evidence of malicious intent or data exfiltration.
能力评估
Purpose & Capability
Name/description claim to convert ChatGPT export JSON into structured notes — the included Python script and SKILL.md directly implement that. Required tooling (Python 3.8+) and local file inputs are proportionate; no unrelated credentials, binaries, or external services are requested.
Instruction Scope
SKILL.md directs the user to export data from ChatGPT and run the included script on local files, processing conversations quarter-by-quarter with human review. Instructions only reference user-provided export files and local output paths; they do not instruct the agent to read unrelated system files or to transmit data to third parties.
Install Mechanism
No install spec — instruction-only with a bundled Python script. README suggests optional git clone or npx clawhub install which is typical for OpenClaw skills. Nothing in the package downloads or extracts remote archives at runtime.
Credentials
The skill requires no environment variables, no credentials, and no config paths. The Python script only reads input_dir files and writes local output; it does not access environment secrets or networked tokens.
Persistence & Privilege
The skill is not always-enabled and does not request elevated or persistent privileges. It does not modify other skills or system-wide settings. Autonomous invocation defaults are standard and not concerning here.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install chatgpt-memory-extraction
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /chatgpt-memory-extraction 触发
  4. 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v1.0.1
Fix unicode control characters
v1.0.0
Initial release: extract structured personal memories from ChatGPT export data
元数据
Slug chatgpt-memory-extraction
版本 1.0.1
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 2
常见问题

Chatgpt Memory Extraction 是什么?

Extract structured personal memories from ChatGPT export data (conversations JSON). Produces organized timeline, people profiles, and thematic records by dee... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 157 次。

如何安装 Chatgpt Memory Extraction?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install chatgpt-memory-extraction」即可一键安装,无需额外配置。

Chatgpt Memory Extraction 是免费的吗?

是的,Chatgpt Memory Extraction 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

Chatgpt Memory Extraction 支持哪些平台?

Chatgpt Memory Extraction 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。

谁开发了 Chatgpt Memory Extraction?

由 cyresearch(@cyresearch)开发并维护,当前版本 v1.0.1。

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