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Review, score, and curate your coding agent conversation traces locally

Project description

ClawTrace

Review and curate your coding agent conversation traces — 100% locally. ClawTrace scans session logs from Claude Code, Codex, Gemini CLI, OpenCode, OpenClaw, Kimi CLI, and Cline, automatically anonymizes secrets and personal information, and gives you a browser workbench to review everything before it ever leaves your machine.

Your data stays local

  • Nothing leaves your machine unless you explicitly choose to share.
  • Secrets and PII are auto-redacted — API keys, tokens, passwords, and personal info are replaced with [REDACTED] before any export.
  • PII review before sharingclawtrace export --pii-review --pii-apply adds AI-assisted detection on top of automatic redaction.
  • Privacy report after every share — you'll always see exactly what was redacted (e.g., "3 API keys, 2 JWT tokens, 1 database URL redacted"). No silent uploads.
  • Preview before sharingclawtrace share --preview shows exactly what would be uploaded. No surprises.
  • You choose what's included — approve, block, or exclude sessions and projects at every step.

What gets anonymized

Every export passes through multiple layers of automatic protection:

What How it's protected
File paths Stripped to project-relative paths. Your home directory and username are removed.
Your username Replaced with an anonymous hash (e.g., user_a1b2c3d4), consistent across exports.
API keys & tokens Auto-detected and redacted: Anthropic, OpenAI, GitHub, AWS, Slack, Discord, HuggingFace, PyPI, NPM, and more.
Passwords & database URLs Connection strings and secrets in environment variables are caught and redacted.
Private keys SSH, RSA, EC, and OpenSSH private keys are detected and removed.
Email addresses Personal email addresses are replaced with [REDACTED].
Suspicious strings Long random-looking strings (potential secrets) are flagged using entropy analysis.
Timestamps Coarsened to hour-level in exports — exact times are not shared.
Custom strings Add your own company names, domains, or project names to always redact.

Automated redaction catches the vast majority of secrets. For extra protection, add AI-assisted PII detection on top:

clawtrace export --pii-review --pii-apply
# Or with hybrid AI provider:
clawtrace export --pii-review --pii-provider hybrid

Quickstart

Option 1: Universal skills (recommended)

Works with Claude Code, Codex, Cursor, Gemini CLI, OpenCode, and many more. The setup wizard handles Python, installation, and configuration automatically.

npx skills add kaiaiagent/clawtrace

Then inside your agent, say setup clawtrace. The three skills added are:

  • clawtrace-setup — interactive wizard to install, scan sessions, and launch the workbench
  • clawtrace — review, triage, and share traces
  • clawtrace-score — AI-assisted quality scoring

Option 2: Paste this into any coding agent

No setup required — just paste this prompt into any coding agent:

Help me set up ClawTrace to review my coding agent traces.
Install it with pip (use a venv if needed), scan my sessions, and open the review workbench.
Everything runs 100% locally — nothing is uploaded without my approval.

Option 3: Manual setup

pip install clawtrace
clawtrace scan          # Find all your local sessions
clawtrace serve         # Open review UI at localhost:8384
Python not installed?

ClawTrace requires Python 3.10+.

Platform Install command
macOS brew install python
Windows Download from python.org/downloads — check "Add to PATH"
Linux sudo apt install python3-full (includes venv support)
Using a virtual environment (recommended)

Modern Linux distributions (Debian 12+, Ubuntu 23.04+) and some macOS setups block system-wide pip installs (PEP 668).

python3 -m venv ~/.clawtrace-venv
source ~/.clawtrace-venv/bin/activate
pip install clawtrace

If you see externally-managed-environment, make sure the venv is activated (your prompt should show (.clawtrace-venv)).

Supported agents

ClawTrace can parse session data from: Claude Code, Codex, Gemini CLI, OpenCode, OpenClaw, Kimi CLI, and Cline.


Workflow

ClawTrace enforces a step-by-step workflow to prevent accidental data leaks. Steps 2-3 are required before export; the rest are recommended. The entire workflow runs in your terminal — no browser needed (also works on remote VMs over SSH).

 Scan ──> Configure ──> Confirm ──> [Triage] ──> [PII Review] ──> Share
  1           2            3           4              5             6
           required ──────┘           optional/recommended

Step 1 — Scan

clawtrace scan

Discovers and indexes sessions. Not gated, but should run first so later steps have data to work with.

Step 2 — Configure source (required)

clawtrace config --source all
# Options: claude, codex, gemini, opencode, openclaw, kimi, custom, all

Step 3 — Review and confirm projects (required)

clawtrace list                                     # See all discovered projects
clawtrace config --exclude "project1,project2"     # Optional: exclude projects
clawtrace config --confirm-projects                # Required: lock in project selection

Step 4 — Triage sessions (recommended)

# Browse and search
clawtrace inbox --json --limit 20
clawtrace search "refactor auth" --json

# Approve or block
clawtrace approve <session_id> --reason "clean trace"
clawtrace block <session_id> --reason "proprietary code"

# Optional: AI-assisted scoring (auto-approves 4-5, blocks 1-2)
clawtrace score --batch --auto-triage

Step 5 — Export with PII redaction (recommended)

clawtrace export --pii-review --pii-apply

Runs AI-assisted PII detection on top of automatic regex-based redaction. Recommended before sharing, but not required — automatic redaction still applies to every export.

Step 6 — Preview and share

clawtrace share --status approved --preview        # Dry run — see what would be shared
clawtrace share --status approved --note "week 12"  # Upload after confirming

For a visual review experience: clawtrace serve (local) or clawtrace serve --remote (prints SSH tunnel command for remote VMs).


Command reference

All commands

Essential

Command Description
clawtrace scan Index local sessions into workbench DB
clawtrace serve Open workbench UI at localhost:8384
clawtrace config --source all Select source scope — claude, codex, gemini, opencode, openclaw, kimi, custom, or all (required)
clawtrace config --confirm-projects Confirm project selection (required before export)
clawtrace score --batch --auto-triage AI-score sessions, auto-approve 4-5 and block 1-2
clawtrace export --pii-review --pii-apply Export with PII redaction (recommended before sharing)
clawtrace share --status approved Bundle + share (shows privacy report)

Quick share

Command Description
clawtrace recent Show recent sessions (auto-scans if stale)
clawtrace recent --source openclaw --since today Filter by source and time
clawtrace card <id> Generate a share card for a session
clawtrace card <id> --depth workflow Workflow-only card (safe for public channels)
clawtrace card <id> --depth full Full card with redacted content

Review & triage

Command Description
clawtrace inbox --json --limit 20 List sessions as JSON (for agent parsing)
clawtrace search <query> --json Full-text search across sessions
clawtrace approve <id> [id ...] Approve sessions by ID
clawtrace block <id> [id ...] Block sessions by ID
clawtrace shortlist <id> [id ...] Shortlist sessions for review
clawtrace score --batch --limit 20 AI-score up to 20 sessions without triage
clawtrace score-view <id> View score details for a session
clawtrace set-score <id> <1-5> Manually set a quality score

Bundles

Command Description
clawtrace bundle-create --status approved Create bundle from all approved sessions
clawtrace bundle-list List all bundles
clawtrace bundle-view <bundle_id> View bundle details and sessions
clawtrace bundle-export <bundle_id> Export bundle to disk (JSONL + manifest)
clawtrace bundle-share <bundle_id> Upload bundle to ClawTrace ingest service

Export & PII

Command Description
clawtrace export Export to local JSONL
clawtrace export --no-thinking Exclude extended thinking blocks
clawtrace export --pii-review --pii-apply Export, generate PII findings, and produce sanitized JSONL
clawtrace pii-review <file> Run PII detection on an exported file
clawtrace pii-apply <file> Apply PII redactions to an exported file
clawtrace pii-rubric Show PII entity types and detection rules

Configuration

Command Description
clawtrace config --exclude "a,b" Add excluded projects (appends)
clawtrace config --redact "str1,str2" Add strings to always redact (appends)
clawtrace config --redact-usernames "u1,u2" Add usernames to anonymize (appends)
clawtrace list List all projects with exclusion status
clawtrace status Show current stage and next steps (JSON)
clawtrace update-skill claude Install/update the clawtrace skill for a specific agent
clawtrace serve --remote Print SSH tunnel command for remote VM access
What gets exported & data schema
Data Included Notes
User messages Yes Full text (including voice transcripts)
Assistant responses Yes Full text output
Extended thinking Yes Claude's reasoning (opt out with --no-thinking)
Tool calls Yes Tool name + inputs + outputs
Token usage Yes Input/output tokens per session
Model & metadata Yes Model name, git branch, timestamps

Each line in the exported JSONL is one session:

{
  "session_id": "abc-123",
  "project": "my-project",
  "model": "claude-opus-4-6",
  "git_branch": "main",
  "start_time": "2025-06-15T10:00:00+00:00",
  "end_time": "2025-06-15T10:30:00+00:00",
  "messages": [
    {"role": "user", "content": "Fix the login bug", "timestamp": "..."},
    {
      "role": "assistant",
      "content": "I'll investigate the login flow.",
      "thinking": "The user wants me to look at...",
      "tool_uses": [
          {
            "tool": "bash",
            "input": {"command": "grep -r 'login' src/"},
            "output": {"text": "src/auth.py:42: def login(user, password):"},
            "status": "success"
          }
        ],
      "timestamp": "..."
    }
  ],
  "stats": {
    "user_messages": 5, "assistant_messages": 8,
    "tool_uses": 20, "input_tokens": 50000, "output_tokens": 3000
  }
}
Gotchas
  • --exclude, --redact, --redact-usernames APPEND — they never overwrite. Safe to call repeatedly.
  • Source and project confirmation are required — the CLI will block export until both are set.
  • Run PII review before sharing — automated redaction is good but not foolproof. --pii-review --pii-apply adds AI-assisted detection.
  • Large exports take time — 500+ sessions may take 1-3 minutes.
  • Virtual environment recommended — modern Linux (and some macOS setups) block system-wide pip installs. Use a venv to avoid issues.

License

MIT

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