ice-crawler-harvester

name	ice-crawler-harvester
description	Run ICE-Crawler’s Frost→Glacier→Crystal pipeline to ingest repositories safely, emit bounded artifact bundles, and hand off sealed fossils for downstream agents.

ICE-Crawler Harvester

Use this skill to run the ICE-Crawler pipeline wherever you have the project cloned. Set an environment variable such as ICE_CRAWLER_ROOT that points to your local clone of the Ice-Crawler repo and run the commands from there. The instructions below assume PowerShell, but any shell works.

Reference: references/ice-crawler-workflow.md

Prerequisites

• Python 3.10+ with Tkinter (for the UI) and Git on PATH.
• ICE-Crawler repository checked out locally (path referenced via ICE_CRAWLER_ROOT).
• Optional: agentics/ hooks if you need partitioned follow-up tasks.

Workflow 1 — Full UI Run (interactive)

1. cd $env:ICE_CRAWLER_ROOT
2. Launch the UI: python icecrawler.py
3. Paste any cloneable Git URL (browse/blob URLs are normalized automatically) and press the glowing PRESS TO SUBMIT TO ICE CRAWLER button.
4. Watch the phase ladder (Frost → Glacier → Crystal → Residue) and log panels update in real time.
5. When the run completes, open state/runs/run_<timestamp>/ to inspect the fossilized artifact bundle.

UI Controls

• Ctrl+B toggle left ladder; Ctrl+Shift+B toggle right logs; Ctrl+J toggle terminal.
• Drag PanedWindow sashes to resize panels.
• UI never touches git; it mirrors ui_events.jsonl written by the orchestrator.

Workflow 2 — Headless CLI Run

cd $env:ICE_CRAWLER_ROOT
$run = "state/runs/run_$(Get-Date -Format 'yyyyMMdd_HHmmss')"
$temp = "state/_temp_repo"
New-Item -ItemType Directory -Force -Path $run | Out-Null
python -m engine.orchestrator "https://github.com/openclaw/openclaw.git" $run 80 256 $temp

Arguments: <repo_url> <state_run_dir> <max_files> <max_kb> <temp_dir>

• max_files controls the Glacier selection cap.
• max_kb enforces a per-file size ceiling when copying into artifact/.
• temp_dir is purged automatically; failure to delete triggers a residue violation.

Outputs & Follow-up

• state/runs/<run>/artifact/ — crystallized file tree (repo-relative paths preserved).
• artifact_manifest.json + artifact_hashes.json — integrity anchors for downstream tools.
• ai_handoff/manifest_compact.json + root_seal.txt — sealed bundle for agent prompts.
• ui_events.jsonl, run_cmds.jsonl — truth logs for UI or automation.
• residue_truth.json — teardown attestation; treat violations as failures.
• Extraction registry — append a row to skills/ice-crawler-harvester/extractions/index.jsonl and drop notes under extractions/<repo-slug>/ so future skills can mine algorithms/tools (see extractions/README.md).

Extending / Integrating

• Call the orchestrator from scripts or scheduled jobs to keep repo fossils fresh.
• Parse artifact_manifest.json to feed other skills (e.g., code summarizers, diff analyzers).
• Hook agentics/ when you need automatic partitioning of Frost metadata or Crystal artifacts into bounded tasks.
• Adjust max_files / max_kb per run to dial ingest size; keep limits conservative for safety.

Troubleshooting

• Missing Tkinter on Linux → sudo apt install python3-tk (or distro equivalent).
• Git credential prompts bubble through the orchestrator; ensure SSH keys or tokens are configured.
• Residue violation (state/_temp_repo not deleted) aborts the run; rerun after manual cleanup if needed.

Follow this skill to get deterministic repo fossils with ICE-Crawler’s provenance guarantees.