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Twg Bench Lite Agent Skill

> 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.

30k tokens
context cost
the whole folder, loaded on every use
6
files
ships runnable scripts
0
copies elsewhere
how many repositories repackaged it
8
stars on the repo
on the repository, not the skill itself

Install

one command, takes just this skill from the repository
npx skills add https://github.com/atlassian/twg-cli --skill twg-bench-lite

What comes with it

114 646 bytes besides the instruction
LICENSE.txt
agents/openai.yaml
scripts/benchmark-lite/contract.json
scripts/benchmark-lite/report-renderer.mjs
scripts/benchmark-lite/runner.mjs

The instruction itself

9 sections, as written by the author

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:

  • Save the exact comparison prompt.
  • Ask TWG CLI for the test-arm route before launching the paired agents:

twg benchmark lite plan --prompt-file <prompt-file> --json.

  • Spawn both managed agents concurrently with no forked parent context:

twg-bench-lite-control and twg-bench-lite-test.

  • 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.

  • Leave model/reasoning overrides unset unless the user asks; apply any

override equally to both arms.

  • Wait for both children to finish and record their agent IDs or session links.
  • 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.

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How to use it

Copy the folder

Take atlassian/twg-bench-lite from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

The agent identifies a skill by the name field in its header. Two skills with the same name cannot sit side by side — one of them will be ignored.