Agent Browser
quran/quran.com-frontend-next
Automates browser interactions for web testing, form filling, screenshots, and data extraction.
Analyze OSWorld-V2 agent trajectory logs and task results to produce actionable insights.
Install Analyze Traj
$ npx skills add xlang-ai/OSWorld-V2 --skill analyze-traj -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install xlang-ai/OSWorld-V2 analyze-traj --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/xlang-ai/OSWorld-V2.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.codex/skills/analyze-traj .claude/skills/analyze-traj && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "analyze-traj" agent skill from https://github.com/xlang-ai/OSWorld-V2/tree/main/.codex/skills/analyze-traj into .claude/skills/analyze-traj/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "analyze-traj", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/xlang-ai/OSWorld-V2/tree/main/.codex/skills/analyze-trajType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add xlang-ai/OSWorld-V2 --skill analyze-traj -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install xlang-ai/OSWorld-V2 analyze-traj --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/xlang-ai/OSWorld-V2.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.codex/skills/analyze-traj .agents/skills/analyze-traj && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "analyze-traj" agent skill from https://github.com/xlang-ai/OSWorld-V2/tree/main/.codex/skills/analyze-traj into .agents/skills/analyze-traj/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "analyze-traj", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add xlang-ai/OSWorld-V2 --skill analyze-traj -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install xlang-ai/OSWorld-V2 analyze-traj --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/xlang-ai/OSWorld-V2.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.codex/skills/analyze-traj .cursor/skills/analyze-traj && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "analyze-traj" agent skill from https://github.com/xlang-ai/OSWorld-V2/tree/main/.codex/skills/analyze-traj into .cursor/skills/analyze-traj/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "analyze-traj", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/xlang-ai/OSWorld-V2.git --path .codex/skills/analyze-traj--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add xlang-ai/OSWorld-V2 --skill analyze-traj -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install xlang-ai/OSWorld-V2 analyze-traj --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/xlang-ai/OSWorld-V2.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.codex/skills/analyze-traj .gemini/skills/analyze-traj && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "analyze-traj" agent skill from https://github.com/xlang-ai/OSWorld-V2/tree/main/.codex/skills/analyze-traj into .gemini/skills/analyze-traj/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "analyze-traj", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install xlang-ai/OSWorld-V2 analyze-trajInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add xlang-ai/OSWorld-V2 --skill analyze-traj -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/xlang-ai/OSWorld-V2.git skills-src && mkdir -p .github/skills && cp -r skills-src/.codex/skills/analyze-traj .github/skills/analyze-traj && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "analyze-traj" agent skill from https://github.com/xlang-ai/OSWorld-V2/tree/main/.codex/skills/analyze-traj into .github/skills/analyze-traj/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "analyze-traj", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add xlang-ai/OSWorld-V2 --skill analyze-traj -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install xlang-ai/OSWorld-V2 analyze-traj --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/xlang-ai/OSWorld-V2.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.codex/skills/analyze-traj .opencode/skills/analyze-traj && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "analyze-traj" agent skill from https://github.com/xlang-ai/OSWorld-V2/tree/main/.codex/skills/analyze-traj into .opencode/skills/analyze-traj/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "analyze-traj", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
analyze-traj- GitHub stars
- 359
- Used in
- 1 other repo
- Token cost
- ~298 tokens
- SKILL.md length
- 113 words
- Files
- 3
- Skills in repo
- 4
- Repo updated
- First seen
- Licence
- Apache-2.0
At a glance
Analyze OSWorld-V2 agent trajectory logs and task results to produce actionable insights.
- The user wants to understand agent performance on OSWorld tasks — including analyzing trajectories
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
- Reviewing task results
- Finding error patterns
What it does
Analyze Traj is an agent skill from xlang-ai/OSWorld-V2. 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.
Its SKILL.md is about 300 tokens, which your agent loads only when the skill is triggered. The skill folder holds 3 other files (for example `prompts/analyze-full-run.md` and `prompts/analyze-single-traj.md`).
It sits in Productivity & Automation. The repository describes itself as: OSWorld 2.0: Benchmarking Computer Use Agents on Long-Horizon Real-World Tasks. The licence is Apache-2.0.
When your agent uses it
- The user wants to understand agent performance on OSWorld tasks — including analyzing trajectories
- Reviewing task results
- Finding error patterns
- Comparing code vs GUI strategies
Example prompts
- “/analyze-traj”
What it can do on your machine
Read from SKILL.md and the folder at commit acdd349. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Analyze Traj loads about 298 tokens when it runs. Until then it costs about 104 tokens; SKILL.md has 113 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
The full file from xlang-ai/OSWorld-V2 at commit acdd349, republished under its Apache-2.0 licence (© xlang-ai). 113 words, ~298 tokens.
Download SKILL.mdSave it as
.claude/skills/analyze-traj/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.- name
- analyze-traj
- description
- 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.
If only one task is issued, analyze it directly with instruction: analyze-single-traj.md.
If multiple tasks or a whole results directory are issued, use subagents to analyze them in parallel (one agent for each task). Do not analyze them sequentially by yourself. DO NOT tell it what to do. Just ask the subagent to analyze the task in target directory and use this skill (analyze-traj) to do the analysis. Pass any user instructions to every subagent.
After the per-task reports are ready:
- Do nothing but report to the user that the analysis is done and where to find the reports.
- Ask user if they want to synthesize a run-level summary, if yes use: analyze-full-run.md.
© xlang-ai, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 2 other files in .codex/skills/analyze-traj of xlang-ai/OSWorld-V2.
- SKILL.md
- prompts/analyze-full-run.md
- prompts/analyze-single-traj.md
Open the folder on GitHubat commit acdd349
Used in 1 other repository
We found 3 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in xlang-ai/OSWorld-V2, which our catalogue first saw on October 7, 2026.
Compare with similar skills
Analyze Traj next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Analyze Traj this skillxlang-ai/OSWorld-V2 | 359 | 1 repos | ~298 | Automated safety check: Pass | Apache-2.0 | |
| Agent Browserquran/quran.com-frontend-next | 1.9k | 40 repos | ~3.3k | Automated safety check: Pass | None | |
| Dependency Watchtelegramdesktop/tdesktop | 33k | 1 repos | ~2.2k | Automated safety check: Pass | GPL-3.0 | |
| Perform Tasktelegramdesktop/tdesktop | 33k | 2 repos | ~3k | Automated safety check: Pass | GPL-3.0 | |
| Brave Searchbadlogic/pi-skills | 2.6k | 5 repos | ~592 | Automated safety check: Pass | MIT | |
| Garden Inboxpaperclipai/paperclip | 99k | — | ~1.1k | Automated safety check: Pass | MIT |
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Migrate an agent from upstream OSWorld into this OSWorld-V2 repository, add matching evaluation entrypoints, and verify the integration.
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Related
Categories
Questions about Analyze Traj
What does Analyze Traj do?
Analyze OSWorld-V2 agent trajectory logs and task results to produce actionable insights. Analyze Traj is an agent skill from xlang-ai/OSWorld-V2. Analyze OSWorld-V2 agent trajectory logs and task results to produce actionable insights.
When should I use Analyze Traj?
Analyze Traj fits situations like: the user wants to understand agent performance on OSWorld tasks — including analyzing trajectories; reviewing task results; finding error patterns; comparing code vs GUI strategies.
How do I install Analyze Traj in Claude Code?
Run `npx skills add xlang-ai/OSWorld-V2 --skill analyze-traj -a claude-code`. Or copy the skill folder (.codex/skills/analyze-traj in xlang-ai/OSWorld-V2) into .claude/skills/analyze-traj in your project. Claude Code loads it when a task matches its description.
How do I install Analyze Traj in Codex?
Run `npx skills add xlang-ai/OSWorld-V2 --skill analyze-traj -a codex`. Or copy the skill folder (.codex/skills/analyze-traj in xlang-ai/OSWorld-V2) into .agents/skills/analyze-traj in your project. Codex loads it when a task matches its description.
Can I use Analyze Traj in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add xlang-ai/OSWorld-V2 --skill analyze-traj -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/analyze-traj, .gemini/skills/analyze-traj, .github/skills/analyze-traj and .opencode/skills/analyze-traj in your project.
What does Analyze Traj need to run?
SKILL.md names no scripts, command-line tools or credentials: Analyze Traj is instructions for the agent only.
Does Analyze Traj access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Analyze Traj safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Analyze Traj use?
Analyze Traj is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Analyze Traj use?
About 298 tokens (SKILL.md is roughly 1.2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Analyze Traj?
Skills that share tags, products or a category with Analyze Traj: Agent Browser (quran/quran.com-frontend-next, 1.9k stars), Dependency Watch (telegramdesktop/tdesktop, 33k stars), Perform Task (telegramdesktop/tdesktop, 33k stars) and Brave Search (badlogic/pi-skills, 2.6k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Analyze Traj?
xlang-ai (a GitHub organization) maintains it in xlang-ai/OSWorld-V2, which has 359 GitHub stars. The repository holds 4 skills in this directory. The repository was last updated on October 1, 2026.
Source: xlang-ai/OSWorld-V2 on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.