Team LevelSAFE
Turn Claude Code into a full game dev studio — 49 AI agents, 72 workflow skills, and a complete coordination system mirroring real studio hierarchy.
Overview
Turn Claude Code into a full game dev studio — 49 AI agents, 72 workflow skills, and a complete coordination system mirroring real studio hierarchy.
42a36917b8beOBSERVED · 2026-10-06What it tells the agent
The instruction file, verbatim from the audited commit — this is the text the model reads, and the surface the audit's instruction layer examines. Quoted here so you can judge it without cloning anything.
---
name: team-level
description: "Orchestrate the level team — level-designer, narrative-director, world-builder, art-director, systems-designer, qa-tester — for complete area creation."
argument-hint: "[level name or area to design] [--review full|lean|solo]"
user-invocable: true
allowed-tools: Read, Glob, Grep, Write, Edit, Bash, Agent, AskUserQuestion, TaskCreate, TaskGet, TaskList, TaskUpdate, Bash(bash "*/.claude/skills/team-level/../../hooks/yaml-helper.sh" resolve_config *)
model: sonnet
---
If no argument is provided, output usage guidance and exit without spawning any agents or reading any design files:
> Usage: `/team-level [level name or area to design] [--review full|lean|solo]` — specify the level or area to design (e.g., `forest temple`, `tutorial village`, `final boss arena`). Do not use `AskUserQuestion` here; output the guidance directly.
When this skill is invoked:
**Decision Points:** At each step transition, use `AskUserQuestion` to present
the user with the subagent's proposals as selectable options. Write the agent's
full analysis in conversation, then capture the decision with concise labels.
In `collaborative` mode, the user must approve before moving to the next step.
In `guided` mode the pipeline advances automatically unless a step is BLOCKED;
in `autonomous` mode it runs end to end, recording each step outcome via
`log_decision`. Decisions in `automation_always_ask` categories
(`is_always_ask_category` helper) always prompt regardless of mode. See
`.claude/docs/automation-modes.md`.
## Phase 0: Resolve Config
!`bash "${CLAUDE_SKILL_DIR}/../../hooks/yaml-helper.sh" resolve_config --keys review_mode,automation,team.size`
Resolved above — use as-is; `--review` overrides `review_mode`. No block →
defaults in `.claude/docs/config-resolution.md`.
`review_mode` sets director-gate depth, and this pipeline has no director gate:
no phase below spawns CD-, TD-, PR- or AD-PHASE-GATE, at any `review_mode`. Its
phase gates are the pipeline's own decision points (defined under `team.size`
below), and the agents that work at them are team members, not director gates.
`automation` drives the Decision Points note above. See the Decision Points note above and
`.claude/docs/automation-modes.md` for how each mode changes pipeline behavior.
**`team.size`**: which agents are active (orthogonal to review_mode gate-depth and workflow docs).
- **`individual`** (default): `level-designer` only. Other agents consulted via the level-designer, not spawned separately.
- **`small`**: + `systems-designer` + `art-director` + `qa-tester`.
- **`studio`**: + `narrative-director` + `world-builder` + `accessibility-specialist` (the full pipeline as documented).
A non-core agent needed at `individual` routes through the nearest active core agent with an informational note. **"Phase gate" means any phase that ends in an `AskUserQuestion` decision point this pipeline itself lists** — a transition under Decision Points above, or a **Gate** step written into the pipeline below — **whatever the `automation` mode.** `guided` and `autonomous` change how a gate is passed (it auto-advances, or is recorded with `log_decision`), not whether it is one, so bounded-exception condition (3) below holds at it in every mode. An agent restricted to "phase gates only" is spawned at those points and no others. This active-set scoping applies throughout the pipeline below: any phase that names an agent outside the active set routes through the nearest core agent rather than spawning it.
**Announce the active set before Step 1 — never let the collapse be silent.**
Before spawning anything, state in one line which agents this run will actually
spawn, and which the pipeline below names but will **not** spawn at the resolved
`team.size`. For example:
> `Active set (team.size: <resolved>): <the agents listed for that size above>.`
> `Not spawned this run: <every other agent this pipeline names> — consulted`
> `through <nearest active core agent>. Raise team.size (or modes.rigor) to widen.`
Fill it from the `team.size` list directly above and the agents this file's own
pipeline names — not from an example. Both sets differ per orchestrator.
The pipeline below reads as a multi-agent fan-out and at the shipped default it
is one or two agents — `team-release` names ten and runs one, `team-narrative`
names six across five phases and runs `writer` alone. **The collapse is correct**:
`team.size` is rigor-fronted and the narrow default is the token lever.
Without saying so, a reader cannot
distinguish a correctly-collapsed run from a broken pipeline, and the per-agent
"routes through the nearest core agent with an informational note" rule above
fires at routing time and never states the shape of the run as a whole.
This is the same rule as the skipped-check reporting elsewhere in this file: **a constraint that is enforced but never surfaced is
indistinguishable, to the person reading the output, from one that was never
enforced.**
1. **Read the argument** for the target level or area (e.g., `tutorial`,
`forest dungeon`, `hub town`, `final boss arena`).
2. **Gather context**:
- Read the game concept at `design/gdd/game-concept.md` — or `design/game-brief.md`,
the one-page brief that replaces it at `rigor: minimal` — if either exists
- Read game pillars at `design/gdd/game-pillars.md`
- Read existing level docs in `design/levels/`
- Read relevant narrative docs in `design/narrative/`
- Read world-building docs for the area's region/faction
## How to Delegate
Use the `Agent` tool to spawn each team member as a subagent:
- `subagent_type: narrative-director` — Narrative purpose, characters, emotional arc
- `subagent_type: world-builder` — Lore context, environmental storytelling, world rules
- `subagent_type: level-designer` — Spatial layout, pacing, encounters, navigation
- `subagent_type: systems-designer` — Enemy compositions, loot tables, difficulty balance
- `subagent_type: art-director` — VTrust audit
SAFEgrade B · trust 89/100 Nothing in the source contradicts what it says it does. Grade A is reserved for packages that have also passed the behavioural sandbox.
| Layer | What it checks | Result |
|---|---|---|
| L0 | Provenance & inventory | PASS |
| L1 | Static analysis of the code | NA |
| L2 | Instruction surface (what it tells the agent) | PASS |
| L3 | Class-specific surface | PASS |
| L4 | Behavioural (sandbox) | SKIPPED |
What the source does
- Filesystem
- none-observed
- Network
- none-observed
- Shell
- none-observed
- Dependencies
- pinned
- Secrets in source
- none-found
Findings (0)
No findings outside the package's declared scope.
Gates applied: no_behavioural_pass.
42a36917b8befull audit observations/trust-audit/skill/donchitos__team-level.json · Report an issue / request a re-scanAudit history
Every audit this skill has had.
| Date | Source | Verdict | Grade | Score | Change |
|---|---|---|---|---|---|
| 2026-10-06 | 42a36917b8be | SAFE | B | 89 | first audit |
Questions
What does the Team Level skill do?
Turn Claude Code into a full game dev studio — 49 AI agents, 72 workflow skills, and a complete coordination system mirroring real studio hierarchy.
Is Team Level safe to install?
The audit found nothing in the source that contradicts what it says it does, and graded it B (89/100). Grade A is held back for packages that have also passed a sandboxed behavioural run, which is why a clean skill reads B.
What can Team Level access on my machine?
The audit observed no filesystem, network or shell use at all in its source.
How current is this page?
The grade is for one exact copy of the source (42a36917b8be), read on 2026-10-06. The repository is watched, and a new audit runs when it changes — this is the first audit.