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analyze-traj

Skill by AMAP-ML · updated · ★ 1.8k

Score 73

Analyze OSWorld-V2 agent trajectory logs and task results to produce actionable insights. Use this skill whenever the user wants to understand agent performance on OSWorld tasks — including analyzing trajectories, reviewing task results, finding error patterns, comparing code vs GUI strategies, identifying which tools/commands the agent used, or deciding which task types to scale up in the benchmark. analyze-traj is published by AMAP-ML on GitHub.

Works withClaude CodeClaude apps Antigravity CLI
Maintenance

Last commit 61 days ago

Licence

MIT: permissive, fine for commercial use

Quality

Clear description, installs from GitHub, 1,759 stars, original repository

Security

Not checked yet. What we check

Install analyze-traj

Built from the published package, never by AI
git clone --depth 1 https://github.com/AMAP-ML/LongHorizon-Harness /tmp/LongHorizon-Harness && mkdir -p ~/.claude/skills && cp -r /tmp/LongHorizon-Harness/eval/OSWorldv2-harness/OSWorld-V2/.claude/skills/analyze-traj ~/.claude/skills/analyze-traj

Run in your terminal. Claude Code loads skills from ~/.claude/skills automatically.

Step-by-step: install analyze-traj in Claude Code

Skills can run scripts on your machine. Some need an API key: check the README.

analyze-traj: common questions

How do I install analyze-traj?

Run the command above to copy the skill into ~/.claude/skills/. Claude Code picks it up automatically.

Is analyze-traj free?

The code is published under the MIT licence. The service it connects to may have its own pricing.

Is analyze-traj safe to use?

It scores 73 of 100. Grades: maintenance B, licence A, quality A. The security check has not run for it yet. Review the code before you install. How grades work.