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SKILL verified MIT Self-run

Setup Automation

skill-frabcd-codex-ai-game-studio-setup-automation · by frabcd

Inspect a game project and propose the optional Codex hooks, scoped AGENTS.md guidance, and selected local agent profiles. Use when adopting the automation pack or changing its engine-specific project setup; never apply configuration before digest confirmation.

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Install

$ agentstack add skill-frabcd-codex-ai-game-studio-setup-automation

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • ✓ Prompt-injection patterns
  • ✓ Secret / credential exfiltration
  • ✓ Dangerous shell & filesystem operations
  • ✓ Untrusted network calls
  • ✓ Known-malicious package signatures

What it can access

  • ✓ Network access No
  • ✓ Filesystem access No
  • ✓ Shell / process execution No
  • ✓ Environment & secrets No
  • ✓ Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

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Reliability & compatibility

✓ Security review passed
0 installs to date
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● 1mo ago

Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

Preview Execution monitoring

We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.

How agent discovery & health will work →
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About

Set up automation

Keep inspection and proposal read-only. Do not trust hooks, write project files, or materialize agents until the user confirms the exact transaction digest.

  1. Run the core doctor --project and report the detected OS, engine, existing guidance, active MCP hosts, and constraints.
  2. Select one engine value: unity, godot, unreal, browser, or generic.
  3. Run scripts/project_setup.py plan --project --engine from this plugin. For an install proposal that may later be confirmed, add --output using a temporary path outside ``.
  4. Present the proposed root/path-scoped AGENTS.md files, common roles, selected engine specialists, permissions, backups, expiry, rollback operations, and digest. Mention that hooks remain disabled until separately reviewed and trusted through /hooks.
  5. Wait for the user to confirm that digest verbatim.
  6. Apply only with scripts/project_setup.py apply --project --plan --confirmed-digest .
  7. Validate the installed guidance and agent TOML, then report the transaction ID. If the user wants to undo it, generate a rollback proposal with the core pack rollback ; never roll back without a second digest confirmation.

Preserve existing files through the transaction backup. Agents inherit the active Codex model and permission mode; do not add model pins, unsupported tool declarations, memory fields, or fixed turn limits.

For preview-only requests, present the proposal and stop after step 4. Do not solicit confirmation, write a plan inside the project, or apply the plan.

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

Reviews

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Versions

  • v0.1.0 Imported from the upstream source.