M
mysticquarterly/chat-harvest-skill
Cross-platform agent skill & CLI harvester to export local AI chats from Claude Code, Codex, Cursor, and…
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Install & config
Client config (built from the install command this repo gives)
{
"mcpServers": {
"mysticquarterly-chat-harvest-skill": {
"command": "npx",
"args": ["@multiplist/chat-harvest-skill"]
}
}
}Parsed from the README we fetched on 2026-11-05; we have not executed it.
command/args come from the install command the repository states. When it is ambiguous, the project README wins.
VS Code (.vscode/mcp.json - the key is servers)
{
"servers": {
"mysticquarterly-chat-harvest-skill": {
"command": "npx",
"args": ["@multiplist/chat-harvest-skill"]
}
}
}Same server, but VS Code keeps it under <code>servers</code>.
Claude Code (command line)
claude mcp add --transport stdio mysticquarterly-chat-harvest-skill -- npx @multiplist/chat-harvest-skill
Claude Code does not read a config file; add the server with this command.
Key names differ by client: Clients & CLI
- Star count
- 0 ★ · mysticquarterly/chat-harvest-skill · read from the GitHub search API · (checked 2026-11-06 20:00:43)
- Source
- read directly from its GitHub page · type: open-source project
- Harvest history
- first seen 2026-11-06 · last seen 2026-11-14 · seen 9× · listed by 2 sources
- Score
- score 203 · 2 sources · repo
- Install
npx @multiplist/chat-harvest-skill
FAQ (answers come from our records)
How do I install it?
The repository provides this install command:
npx @multiplist/chat-harvest-skill. It comes from the repository itself; we cannot guarantee it runs as-is in your client.Who is it for?
We filed it under these tags: 开源项目. The tags come from the entry itself, not a taxonomy we imposed.
Who maintains it?
repository
mysticquarterly/chat-harvest-skill；first catalogued 2026-11-06；last seen 2026-11-14。There is no official certification or quality rating here — we record sources and dates only.# @multiplist/chat-harvest-skill
以下摘录自该仓库的 README（片段） · 在 GitHub 读完整 README →
> Cross-platform agent skill & CLI harvester to export local AI chats from Claude Code, OpenAI Codex, Cursor, and Google Antigravity into clean, dated Markdown chapters with zero cloud custody.
Developers constantly switch between Claude Code, OpenAI Codex, Cursor, and Google Antigravity. Each tool is an isolated silo of amnesia, and your best architectural breakthroughs, debugging insights, and operational workflows remain trapped in proprietary local JSONL logs and hidden caches.
@multiplist/chat-harvest-skill scans your local machine, extracts visible human-and-AI dialogue across all four platforms, strips out noisy tool sediment and background reasoning, and compiles your conversations into clean, dated daily Markdown chapters.
It is packaged as both a standalone zero-dependency CLI (chat-harvest) and an agent-native skill package (SKILL.md) that you can install directly into Claude Code, Cursor, Antigravity, or Codex.
## ✨ Features
🛡️ Zero Cloud Custody: 100% local-first. Reads directly from your machine's on-disk storage (~/.claude, ~/.cursor, ~/.codex, ~/.gemini). Zero tokens uploaded to third-party servers.
📅 Dynamic Daily Chapter Slicing: Automatically groups turns into daily chapters using your host machine's live system timezone, linking adjacent dates and parent transcripts. Zero hardcoded timezones.
🧹 Noise-Filtered Dialogue: Drops internal tool loops, JSON schemas, intermediate bash stdout streams, and hidden chain-of-thought blocks so you get human-readable prose.
🏷️ Objective Archetype Classification: Automatically calculates the dialogue-to-action ratio and classifies sessions into 💬 Strategic Dialogue, ⚡ Code Sprint, or 🛠️ Hybrid Pairing with zero paid API overhead.
⚡ Instant Incremental Caching: Computes SHA256 hashes of every exported chapter and manifest. Subsequent runs skip unchanged threads in under 5ms.
📚 Master Archive Index: Generates 00TRANSCRIPTSMASTERINDEX.md and chronological day indices for instant browsing in Obsidian, VS Code, or GitHub.
🪶 Zero Dependencies: Powered entirely by standard Node/Bun native APIs.
## 🚀 Quick Start
Run instantly with npx (no installation required):
bash
# Preview all discovered chats across Claude, Cursor, Codex, and Antigravity
npx @multiplist/chat-harvest-skill --preview
# Harvest all local chats into ./transcripts
npx @multiplist/chat-harvest-skill
# Run with custom output directory
npx @multiplist/chat-harvest-skill -o ~/Documents/AI-Vault
## 🛠️ Supported Platforms & Storage Targets
| Platform | Storage Target Ingested | What Gets Harvested |
| Claude Code & Desktop | ~/.claude/projects//.jsonl | User prompts (cleaned of system reminders) and Claude assistant responses. |
| Cursor IDE | ~/.cursor/projects//agent-transcripts//.jsonl | User queries ( ) and Cursor assistant responses. |
| OpenAI Codex | Bundled codex app-server --stdio & ~/.codex/ | Amy/User turns and visible final Codex responses via official App Server RPC. |
| Google Antigravity | ~/.gemini/antigravity/brain//transcript.jsonl | User input turns and planner responses. |
## 🤖 Using as an Agent Skill
This repository includes native skill manifests for your AI tools:
Developers constantly switch between Claude Code, OpenAI Codex, Cursor, and Google Antigravity. Each tool is an isolated silo of amnesia, and your best architectural breakthroughs, debugging insights, and operational workflows remain trapped in proprietary local JSONL logs and hidden caches.
@multiplist/chat-harvest-skill scans your local machine, extracts visible human-and-AI dialogue across all four platforms, strips out noisy tool sediment and background reasoning, and compiles your conversations into clean, dated daily Markdown chapters.
It is packaged as both a standalone zero-dependency CLI (chat-harvest) and an agent-native skill package (SKILL.md) that you can install directly into Claude Code, Cursor, Antigravity, or Codex.
## ✨ Features
🛡️ Zero Cloud Custody: 100% local-first. Reads directly from your machine's on-disk storage (~/.claude, ~/.cursor, ~/.codex, ~/.gemini). Zero tokens uploaded to third-party servers.
📅 Dynamic Daily Chapter Slicing: Automatically groups turns into daily chapters using your host machine's live system timezone, linking adjacent dates and parent transcripts. Zero hardcoded timezones.
🧹 Noise-Filtered Dialogue: Drops internal tool loops, JSON schemas, intermediate bash stdout streams, and hidden chain-of-thought blocks so you get human-readable prose.
🏷️ Objective Archetype Classification: Automatically calculates the dialogue-to-action ratio and classifies sessions into 💬 Strategic Dialogue, ⚡ Code Sprint, or 🛠️ Hybrid Pairing with zero paid API overhead.
⚡ Instant Incremental Caching: Computes SHA256 hashes of every exported chapter and manifest. Subsequent runs skip unchanged threads in under 5ms.
📚 Master Archive Index: Generates 00TRANSCRIPTSMASTERINDEX.md and chronological day indices for instant browsing in Obsidian, VS Code, or GitHub.
🪶 Zero Dependencies: Powered entirely by standard Node/Bun native APIs.
## 🚀 Quick Start
Run instantly with npx (no installation required):
bash
# Preview all discovered chats across Claude, Cursor, Codex, and Antigravity
npx @multiplist/chat-harvest-skill --preview
# Harvest all local chats into ./transcripts
npx @multiplist/chat-harvest-skill
# Run with custom output directory
npx @multiplist/chat-harvest-skill -o ~/Documents/AI-Vault
## 🛠️ Supported Platforms & Storage Targets
| Platform | Storage Target Ingested | What Gets Harvested |
| Claude Code & Desktop | ~/.claude/projects//.jsonl | User prompts (cleaned of system reminders) and Claude assistant responses. |
| Cursor IDE | ~/.cursor/projects//agent-transcripts//.jsonl | User queries ( ) and Cursor assistant responses. |
| OpenAI Codex | Bundled codex app-server --stdio & ~/.codex/ | Amy/User turns and visible final Codex responses via official App Server RPC. |
| Google Antigravity | ~/.gemini/antigravity/brain//transcript.jsonl | User input turns and planner responses. |
## 🤖 Using as an Agent Skill
This repository includes native skill manifests for your AI tools:
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- Source
- github · https://github.com/mysticquarterly/chat-harvest-skill
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