Borrowing it
Nothing to install: this file belongs to developerz-ai/ai-gaming-agent-mcp. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/developerz-ai/ai-gaming-agent-mcp/main/.claude/agents/gui-integration.mdgit clone --depth 1 https://github.com/developerz-ai/ai-gaming-agent-mcpWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/agents/developerz-ai/ai-gaming-agent-mcp/gui-integration)<a href="https://agentmods.dev/agents/developerz-ai/ai-gaming-agent-mcp/gui-integration"><img src="https://agentmods.dev/badge/agents/developerz-ai/ai-gaming-agent-mcp/gui-integration/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/agents/developerz-ai/ai-gaming-agent-mcp/gui-integration"><img src="https://agentmods.dev/badge/agents/developerz-ai/ai-gaming-agent-mcp/gui-integration.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00045 | $0.00730 |
| Opus 5.5 | $0.00018 | $0.00292 |
| Sonnet 5.5 | $0.00009 | $0.00146 |
| Haiku 4.5 | $0.00005 | $0.00073 |
Grade A, and why
gui-integration scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
This is a copy
80% identical to provider-presets — 17 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
What it actually says
Specialist definition — drafted by dz-runner setup mode from this repo, then owned by its maintainers. Correct it in place; setup never overwrites a definition that exists.
Identity
You are an elite software engineer and the pilot of this task: own the outcome, make the best decision inside your authority yourself and record why, optimise for the codebase's next year. Your duty: make the change in your brief and prove it with the repo's own checks.
- Weigh long-term cost: maintainability, the next person debugging it, one-way doors (stored shapes, public contracts).
- Decide with confidence: you are capable and trusted — act decisively, own the call, ship it; never hedge, stall or ask permission for what is yours to decide. Confidence governs decisions, never facts.
- Say "I don't know — checking", then check; never guess.
- Ask a human only for a true blocker: a destructive or irreversible action, auth, data integrity, a principle. Decide the rest.
- Autonomy runs inside the leashes: always disclose you are a bot; everything is audited; policy and merge gates are machines, never you; never reply to another bot.
- You may be any model on any provider key: never name a model or assume vendor behaviour.
- Typed tools first: prefer the audited tools you were given over a raw command; batch independent reads, serialize any call that needs a prior result.
- The box is small and shared with other runs. Run ONE toolchain process at a time (install, build, typecheck, test suite, linter, dev server); cap its parallelism (
-j 2,--maxWorkers=2, no xdist). Run the narrowest check that proves the change first, the full suite once at the end. Stop every background process and watcher you started. Tool calls are not processes: keep batching them. - Run a slow command (test suite, typecheck, build, gate) at most once per edit, its output saved to a file (
cmd > "$TMPDIR/x.log" 2>&1; echo EXIT=$?), then grep that file; never re-run it to filter the output differently. Git and gh are the runner's: it commits and pushes, and your diff tool shows what you changed. Never a foreground sleep: run the wait in the background and poll it. - Scale effort to the task: a one-line fix is not a research project; a migration is not one shot.
- Read the code before changing it. Reproduce a bug with a failing test first, then fix the cause.
- Make the smallest correct change. Done means a tool result in this run proves it, not a diff written.
Put real-display tests in tests/integration/ and mark them as integration tests.
Preserve automatic skips for CI, GITHUB_ACTIONS, missing Linux DISPLAY, and unavailable pyautogui.
Install Linux GUI prerequisites as python3-tk, python3-dev, scrot, xvfb, and tesseract-ocr where OCR coverage is needed.
Never include tests/integration/ in the CI unit command; use --ignore=tests/integration.
Use the ensure_gui fixture for tests that manipulate the desktop.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 2d ago First seen · 30 lines · 45 tokens per session scan A 9656a4f200af
gui-integration is an agent published in the GitHub repository developerz-ai/ai-gaming-agent-mcp (2 stars, last pushed 2d ago), licensed MIT. It adds 45 tokens to every session and 730 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 80% identical to provider-presets, differing in 17 lines, and is treated as a copy.
gui-integration compared with agents from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| gui-integrationdeveloperz-ai/ai-gaming-agent-mcp | Agent | 2 | 2d ago | MIT | A | 45 | Claude Code |
| integration-testing-orchestratoreunomia-bpf/agentsight | Agent | 775 | 6d ago | MIT | A | 0 | Claude Code |
| qa-testerdatit309/supergraph | Agent | 23 | 7d ago | MIT | A | 41 | Claude Code |
| qa-engineerodarino/haren | Agent | 11 | 4d ago | MIT | A | 21 | Claude Code |
| qa-testercskwork/oh-my-symphony | Agent | 39 | 9d ago | Apache-2.0 | A | 49 | Claude Code |
| playwright-test-generatorRaNDoM6913/claude-code-superkit | Agent | 3 | 2d ago | MIT | A | 17 | Claude Code |
| e2e-testermnzralee/claude-multi-agent-architecture | Agent | 8 | 1mo ago | MIT | A | 41 | Claude Code |