Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add commands/devdavv/unity-ai-workflow/uw-cmd-plangit clone --depth 1 https://github.com/devdavv/unity-ai-workflowWhat 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 | $0.00000 | $0.00430 |
| Opus 5 | $0.00000 | $0.00215 |
| Sonnet 5 | $0.00000 | $0.00086 |
| Haiku 4.5 | $0.00000 | $0.00043 |
Grade A, and why
uw-cmd-plan 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.
What it actually says
/uw-cmd-plan — Planning Workflow
Break a feature or sprint into actionable tasks with clear acceptance criteria.
Steps
1. Define the Feature
Ask the user:
- What feature or sprint goal are we planning?
- Which GDD scenario(s) does this map to?
- Are there dependencies on existing systems?
2. Architecture Check
Read docs/TDD.md to understand:
- Which assemblies are involved
- Data flow between systems
- Any API constraints
3. Task Breakdown
Create a numbered task list with:
- Task name (action-oriented: "Implement X", "Create Y")
- Estimated complexity (S/M/L)
- Dependencies (which tasks must complete first)
- Acceptance criteria (what "done" looks like)
- Skill (which skill handles this task)
4. Sprint Structure
## Sprint [N]: [Goal]
**Duration**: [X days/weeks]
| # | Task | Size | Depends On | Skill | Status |
|---|------|------|-----------|-------|--------|
| 1 | Create PlayerHealth SO | S | — | uw-scriptable-object-arch | pending |
| 2 | /uw-cmd-implement-feature: damage system (incl. game feel) | M | 1 | uw-game-feel-integrator | pending |
| 3 | /uw-cmd-implement-feature: health UI (incl. animations) | M | 1 | uw-ui-toolkit-binder | pending |
| 4 | Write health edge-case tests | S | 2 | uw-unity-test-runner | pending |
Game feel is embedded inside each
/uw-cmd-implement-featuretask — not a separate row. If deferred, mark withTODO(gamefeel).
5. Output
- Updated
docs/SprintPlan.md - If Linear MCP is connected, create tasks in Linear
- Task dependency graph (optional)
$ARGUMENTS
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 · 48 lines · 0 tokens per session scan A 7a5d730a2851
uw-cmd-plan is a command published in the GitHub repository devdavv/unity-ai-workflow (41 stars, last pushed 5mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 430 tokens. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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