analyze-task
Check OSWorld tasks. Validate the evaluation function, verify that the instruction is feasible given the task setup and agent-visible files, inspect setup…
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
$ npx -y skills add AMAP-ML/LongHorizon-Harness --skill weavebench-cua-reproduce --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/weavebench-cua-reproduceContext preview
The summary Claude sees to decide when to auto-load this skill.
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
name: weavebench-cua-reproduce description: 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.
Use this skill to guide an agent through a complete, reproducible WeaveBench CUA-Harness run. The expected repository layout is:
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 automation:
Not automated:
If the user requests unsupported automation, explain the boundary and provide the closest supported local Docker/KVM path.
Before doing setup work on a new machine, run or mentally follow:
./skills/weavebench-cua-reproduce/scripts/reproduce.sh intake
Confirm:
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/`.
Use:
./skills/weavebench-cua-reproduce/scripts/reproduce.sh <command>
Commands:
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:
./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
Before `doctor`, `smoke`, or `full`, ensure these are set:
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:
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:
export WEAVEBENCH_IMAGE_PROXY=0
Run one domain:
export WEAVEBENCH_DOMAINS="WEB" ./skills/weavebench-cua-reproduce/scripts/reproduce.sh full
Run one task:
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:
./skills/weaveben
The long-horizon computer-use harness. Run AI agents across desktop apps and the CLI for extended periods while preserving task state and making reliable progress on complex workflows. Features fresh-context execution, durable verified state, independent auditing, recoverable progress, and native Claude Code / Codex / OpenClaw integration.
Repo: AMAP-ML/LongHorizon-Harness
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