amap-ml/longhorizon-harness/weavebench-cua-reproduce

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Reproduce CUA-Harness experiments on WeaveBench from a GitHub checkout. Use when the user wants an AI coding agent to set up dependencies, download WeaveBench assets, prepare the 120G VM, configure Qwen/Anthropic-compatible APIs, run smoke tests, launch full or subset evaluations, inspect logs, or summarize scores for this repository.

Install

npx vskill@latest install amap-ml/longhorizon-harness/weavebench-cua-reproduce

SKILL.md

WeaveBench CUA-Harness Reproduction

Use this skill to guide an agent through a complete, reproducible WeaveBench CUA-Harness run. The expected repository layout is:

text
WeaveBench-harness/
WeaveBench/
cua-harness/
skills/weavebench-cua-reproduce/

Do not invent alternate launch commands. Prefer the bundled helper script and the project scripts under WeaveBench/scripts/.

Supported Scope

Supported automation:

  • Local Docker/KVM WeaveBench evaluation.
  • Qwen 3.7-Plus through an Anthropic-compatible endpoint.
  • Claude Code execution backend through cua_harness_claudecode.
  • OpenClaw judge setup and verification.
  • Official WeaveBench assets downloaded from the HuggingFace dataset.
  • A 120G copy of the official Ubuntu qcow2 plus per-task rootfs growth.

Not automated:

  • Cloud VM provisioning.
  • Public image-hosting service deployment.
  • New model-provider adapters beyond the existing Anthropic-compatible path.
  • Non-Claude-Code execution backend reproduction.
  • Deleting or pruning existing results.

If the user requests unsupported automation, explain the boundary and provide the closest supported local Docker/KVM path.

Start With Intake

Before doing setup work on a new machine, run or mentally follow:

bash
./skills/weavebench-cua-reproduce/scripts/reproduce.sh intake

Confirm:

  • Linux Docker/KVM is available or installable.
  • The user accepts large downloads and creation of Ubuntu_120G.qcow2.
  • The model endpoint and API key are available.
  • Image proxy should be enabled with public upload/show URLs, or disabled because the endpoint accepts large base64 screenshots.
  • The desired scope is doctor, smoke, subset, or full 114-task evaluation.
  • Long-running/full evaluation is allowed, especially if other experiments may already be active.

Workflow

  1. Locate the project root. It must contain both WeaveBench/ and cua-harness/.
  2. Read references/configuration.md when you need exact defaults, environment variables, or paths.
  3. Read references/assets.md before downloading or validating WeaveBench tasks, runtime assets, judge templates, or VM files.
  4. Read references/verify.md before reporting whether setup or a run is actually verified.
  5. Read references/troubleshooting.md when setup, VM, API, image proxy, warmup, or judge errors occur.
  6. Ask the user for missing API details only when they are required and not discoverable from the environment.
  7. Run commands from the project root unless a command explicitly changes into WeaveBench/.

Helper Script

Use:

bash
./skills/weavebench-cua-reproduce/scripts/reproduce.sh <command>

Commands:

text
install Install local WeaveBench package and OpenClaw if needed.
download Download task files, Claude Code runtime, judge template, and VM.
vm120g Create cache/vm/Ubuntu_120G.qcow2 from the official Ubuntu.qcow2.
doctor Run the read-only environment checker.
intake Print setup questions for a new machine.
status Print a non-destructive setup status report.
smoke Run a one-task, one-round smoke test.
full Launch the full 114-task evaluation in tmux.
stats Summarize scores for a result directory.
plan Print the minimal manual command sequence.

For a fresh machine, the usual sequence is:

bash
./skills/weavebench-cua-reproduce/scripts/reproduce.sh install
./skills/weavebench-cua-reproduce/scripts/reproduce.sh download
./skills/weavebench-cua-reproduce/scripts/reproduce.sh vm120g
./skills/weavebench-cua-reproduce/scripts/reproduce.sh status
./skills/weavebench-cua-reproduce/scripts/reproduce.sh doctor
./skills/weavebench-cua-reproduce/scripts/reproduce.sh smoke
./skills/weavebench-cua-reproduce/scripts/reproduce.sh full

Required User Configuration

Before doctor, smoke, or full, ensure these are set:

bash
export WEAVEBENCH_LITELLM_KEY="YOUR_API_KEY"
export WEAVEBENCH_LITELLM_BASE_URL="https://YOUR_ANTHROPIC_COMPATIBLE_ENDPOINT/v1"

If the provider cannot accept large base64 image payloads, enable image URL proxy:

bash
export WEAVEBENCH_IMAGE_PROXY=1
export WEAVEBENCH_IMAGE_PROXY_UPLOAD_URL_TPL="https://YOUR_IMAGE_UPLOAD_ENDPOINT/{id}"
export WEAVEBENCH_IMAGE_PROXY_SHOW_URL_TPL="https://YOUR_PUBLIC_IMAGE_URL/{id}.png"
export WEAVEBENCH_IMAGE_PROXY_UPLOAD_MODE="raw"

If the provider can directly accept large base64 screenshots:

bash
export WEAVEBENCH_IMAGE_PROXY=0

Launch Rules

  • Use the 120G VM copy by default: WeaveBench/cache/vm/Ubuntu_120G.qcow2.
  • Keep WEAVEBENCH_GROW_ROOTFS=1 unless the user explicitly disables it.
  • Use qwen3.7-plus, cua_harness_claudecode, GUI mode, 25 CUA rounds, and 5 concurrent VM environments for full evaluation unless the user asks for a subset.
  • Use smoke before full on a new machine.
  • Run long evaluations in tmux.
  • Never delete cache/, results/, logs/, Docker volumes, or judge workspaces unless the user explicitly asks.
  • When reporting API keys, redact them unless the user explicitly requests full values.
  • At the end of setup, classify each surface as configured and verified, configured but not smoke-tested, not configured, or blocked awaiting user action.

Common Subsets

Run one domain:

bash
export WEAVEBENCH_DOMAINS="WEB"
./skills/weavebench-cua-reproduce/scripts/reproduce.sh full

Run one task:

bash
export WEAVEBENCH_DOMAINS="WEB"
export WEAVEBENCH_TASK_FILTER="WEB_task_10_lighthouse"
export WEAVEBENCH_NUM_ENVS=1
./skills/weavebench-cua-reproduce/scripts/reproduce.sh full

Summarize a run:

bash
./skills/weavebench-cua-reproduce/scripts/reproduce.sh stats \
WeaveBench/results/<run_name>/gui/qwen3.7-plus

Final Report Template

End setup or launch tasks with this shape:

text
Environment: configured and verified / configured but not smoke-tested / not configured / blocked awaiting user action
Assets: ...
120G VM: ...
Model API: ...
Image proxy: ...
Judge: ...
Smoke test: passed / failed / skipped
Full run: launched in tmux <name> / not launched
Provenance: run_provenance.json written / not applicable
Remaining blockers: ...

Security

  • Security scanPassed, 95 of 100Pattern checks on the skill's files.
  • Model reviewPassed

Quality evaluation

  • Task evaluationNot runNo evaluation yet. Run one in Skill Studio.

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