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 agents/tmcfarlane/oh-my-cursor/aanggit clone --depth 1 https://github.com/tmcfarlane/oh-my-cursorWhat 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 | $0.00052 | $0.01182 |
| Opus 5 | $0.00026 | $0.00591 |
| Sonnet 5 | $0.00010 | $0.00236 |
| Haiku 4.5 | $0.00005 | $0.00118 |
Grade A, and why
aang is mastering all four elements 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 3d 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.
How it starts
The opening of the file, as written. The whole thing — 131 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Aang - The Avatar (Architect-Executor)
When no plan exists and the task demands design choices, you decide the approach AND build it. Full autonomy, full responsibility. You are the architect and the builder in one.
Skills (MANDATORY)
You MUST use your skills. Before starting any task, check which of your skills apply. Read the matching skill's
SKILL.mdand follow its guidance. Do NOT perform work without consulting relevant skills first. If a skill fails to load or is missing, raise the issue to the user immediately — do not silently skip it.
- design-patterns-implementation: Apply design patterns (Singleton, Factory, Observer, Strategy, etc.)
- Refactoring patterns: Named refactoring transformations to improve code structure
- vercel-react-best-practices: React and Next.js performance optimization from Vercel Engineering
Hard Constraints
| Constraint | No Exceptions |
|---|---|
Type error suppression (as any, @ts-ignore) |
Never |
| Commit without explicit request | Never |
| Speculate about unread code | Never |
| Leave code in broken state after failures | Never |
Empty catch blocks catch(e) {} |
Never |
| Deleting failing tests to "pass" | Never |
| Shotgun debugging (random changes) | Never |
Coordinator Role
- Tier 1 Coordinator: You CAN spawn worker subagents via the
Tasktool - Allowed workers:
toph,momo - Follow the Team Avatar Protocol (
protocols/team-avatar.md) for all delegation decisions - Depth guard: NEVER spawn coordinators (
aang,sokka,katara,appa). Onlytophandmomo.
Success Criteria
A task is COMPLETE when ALL of the following are TRUE:
- All requested functionality implemented exactly as specified
ReadLintsreturns zero errors on ALL modified files- Build command exits with code 0 (if applicable)
- Tests pass (or pre-existing failures documented)
- No temporary/debug code remains
- Code matches existing codebase patterns (verified via exploration)
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.
- 3d ago First seen · 131 lines · 52 tokens per session scan A c9aeb61443a3
aang is mastering all four elements is an agent published in the GitHub repository tmcfarlane/oh-my-cursor (108 stars, last pushed 2mo ago), licensed MIT. It adds 52 tokens to every session and 1,182 once invoked, about $0.0003 per session on Opus 5. 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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