MCPInstall

twg-bench-lite

Run a lightweight single-prompt A/B comparison of free Atlassian/local MCP context vs TWG CLI graph context using paired read-only agent sessions.

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Install

Works with every agent the skills CLI supports.

npx skills add https://github.com/atlassian/twg-cli --skill twg-bench-lite
  1. 01

    Install

    Run the command in your project. The CLI asks which agents to install for.

  2. 02

    Describe the task

    Ask your agent for something this skill covers. It loads twg-bench-lite automatically when relevant.

  3. 03

    Review the result

    The agent follows the SKILL.md steps, scripts and references bundled with the skill.

SKILL.md

The instructions your agent reads when the skill is triggered.

twg-bench-lite

Run one read-only prompt twice: once with free Atlassian/local MCP context and once with paid Atlassian Teamwork Graph context through TWG CLI. This is a skill-first workflow with a thin twg benchmark lite run bridge. The benchmark repo owns reusable runner, judge, and report-template code.

CLI launcher fallback

Run twg <command>. On shell command not found, use $HOME/.local/bin/twg (macOS/Linux) / $env:LOCALAPPDATA\Programs\twg\bin\twg.exe (PowerShell), then tell user to add that directory to PATH. Do not treat auth or command errors as PATH failures.

Runtime Support

V1 supports Codex and Rovo live runs. Claude is V2. Do not require users to install the benchmark CLI locally.

Eligibility

Use a text-only read task both arms can attempt. Do not compare mutations; for writes, compare a read-only plan or dry-run only after user approval. Preserve the underlying prompt byte-for-byte for both arms.

Prerequisite

For the default full lifecycle command, verify the portable runner and selected runtime first:

twg benchmark lite --check

The default check is Codex; use --agent rovo when the run should use Rovo.

For Rovo runs:

twg benchmark lite --check --agent rovo

The quality judge defaults to the selected runtime, so Rovo runs use a Rovo judge by default. If the user explicitly wants a different judge runtime, use:

twg benchmark lite --check --agent rovo --judge-agent codex

The managed custom agents are only required for manual orchestration:

  • twg-bench-lite-control
  • twg-bench-lite-test

If a manual run needs either agent and it is missing, tell the user to run:

twg skills install --yes

Then start a fresh Codex thread so agent discovery refreshes. Do not substitute generic agents for manual orchestration because arm isolation is the point.

Before a live run, verify setup with:

twg benchmark lite --check

This checks the bundled runner artifact and the selected live-run runtime. Codex checks include the Codex executable and Codex home. Rovo checks include the Rovo executable and OAuth status. If --judge-agent differs from --agent, the check verifies both runtimes. It also reports the global twg-bench-lite skill install and managed control/test Codex agent configs as manual-workflow optional checks when relevant.

Arms

  • Control - Free Atlassian with Local MCPs Context: use free Atlassian tools plus user-local MCPs/connectors. Do not use TWG CLI, TWG skills, paid graph tools, prior artifacts, or local files as task evidence unless the prompt is explicitly about local files.
  • Test - Paid Atlassian Teamwork Graph Context: use TWG CLI graph context with bundled TWG guidance as the primary work-data source.

Paired Run

For the default full lifecycle, run:

twg benchmark lite run --prompt "<read-only prompt>" --output-dir <dir>

Use --agent rovo to run the same lifecycle with Rovo. The quality judge uses the same runtime unless --judge-agent codex|rovo is supplied.

For manual orchestration:

  1. Save the exact comparison prompt.
  2. Ask TWG CLI for the test-arm route before launching the paired agents: twg benchmark lite plan --prompt-file <prompt-file> --json.
  3. Spawn both managed agents concurrently with no forked parent context: twg-bench-lite-control and twg-bench-lite-test.
  4. Send the identical prompt as the complete user message to each child. Do not add arm-specific instructions; the managed agent configs own isolation. The test agent may receive the TWG route plan as tool-selection policy only; it is not answer evidence.
  5. Leave model/reasoning overrides unset unless the user asks; apply any override equally to both arms.
  6. Wait for both children to finish and record their agent IDs or session links.
  7. Do not solve the task again in the parent. The parent compares, evaluates, and reports.

Print lifecycle progress in the parent session: start, prompt captured, agents started, each arm finished, outputs read, quality reviewed, report compiled, done.

Quality

Read both answers before interpreting token delta. Classify as equivalent, twg-better, control-better, capability-gain, or not-comparable. not-comparable is a real outcome for missing, unusable, or non-comparable answers, not a placeholder. Claim observed savings only for equivalent or twg-better; for capability-gain, report capability instead.

Evaluate coverage, correctness, evidence quality, directness, and limitations. Do not assign numeric quality scores.

Lite Report

Return a compact report in the parent answer with:

  • prompt text,
  • control/test status and final outputs,
  • observed tool families and TWG command evidence when available,
  • token/tool/duration metrics when the agent runtime exposes them,
  • quality classification and rationale,
  • integrity notes: identical prompt, expected roles, TWG absent from control, TWG used in test, and any measurement gaps.

If token/session metrics are unavailable, say "not measured"; do not estimate. Describe the result as one observed prompt comparison, not a universal efficiency rate.

FAQ

What does the twg-bench-lite skill do?

Run a lightweight single-prompt A/B comparison of free Atlassian/local MCP context vs TWG CLI graph context using paired read-only agent sessions.

How do I install twg-bench-lite?

Run npx skills add https://github.com/atlassian/twg-cli --skill twg-bench-lite in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/twg-bench-lite/ (personal) or .claude/skills/twg-bench-lite/ (project).

Which AI agents can use twg-bench-lite?

Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.

Is twg-bench-lite safe to install?

No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.

Who maintains twg-bench-lite?

It is published by atlassian in atlassian/twg-cli. It has 83 recorded installs.

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