Tutti is a real-time collaboration space where people can work alongside multiple AI agents, including by sharing rooms, editing together, and borrowing agents. It is intended for users who want human-agent or multi-agent collaboration across devices, with open-source and VM versions available. The catalogue entries provide skills and instructions for working with Tutti.
Borrowing it
Nothing to install: this file belongs to tutti-os/tutti. 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/tutti-os/tutti/main/.codex/skills/tutti-architecture-review/SKILL.mdgit clone --depth 1 https://github.com/tutti-os/tuttiWrote 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/skills/tutti-os/tutti/tutti-architecture-review)<a href="https://agentmods.dev/skills/tutti-os/tutti/tutti-architecture-review"><img src="https://agentmods.dev/badge/skills/tutti-os/tutti/tutti-architecture-review/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/skills/tutti-os/tutti/tutti-architecture-review"><img src="https://agentmods.dev/badge/skills/tutti-os/tutti/tutti-architecture-review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00048 | $0.02036 |
| Opus 5 | $0.00024 | $0.01018 |
| Sonnet 5 | $0.00010 | $0.00407 |
| Haiku 4.5 | $0.00005 | $0.00204 |
Grade A, and why
tutti-architecture-review 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 13d 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 — 170 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Tutti Architecture Review
Use this skill when reviewing a tutti change or a named module for repository structure, module ownership, or layering compliance. This is a focused architecture review, not a general bug hunt.
Vocabulary
Use the architecture vocabulary consistently:
- Module: anything with an interface and an implementation.
- Interface: everything a caller must know to use the module correctly.
- Implementation: the code inside a module.
- Depth: leverage at the interface; deep modules hide useful behavior behind a small interface.
- Seam: where an interface lives.
- Adapter: a concrete thing satisfying an interface at a seam.
- Leverage: what callers get from depth.
- Locality: what maintainers get from depth.
Prefer these words in findings. Avoid vague substitutes such as "component", "service", "utility", or "boundary" when a vocabulary term fits.
Workflow
-
Resolve the user's review intent:
- plain
git diffreview for the current change - module-focused diff review when the user names a module inside the current change
- static module review when the user wants a named module inspected even without current diff overlap
Use light natural-language guidance when the request is ambiguous. Do not force the user through a fixed mode menu.
- plain
-
When the user names a module, let the main agent infer a few candidate path keywords and gather candidate paths. Then normalize those paths into a scope file:
node ./.codex/skills/tutti-architecture-review/scripts/build-review-scope.mjs \ --input /tmp/tutti-review-candidates.json \ --output /tmp/tutti-review-scope.jsonCandidate input is agent-produced. The script does not invent module keywords or search the repository itself; it only normalizes candidate paths into a stable scope contract for the planner.
Read
references/scope-contract.mdwhen changing or consuming the candidate input, normalized scope output, or planner scope metadata.
What ships with it
8 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- agents/openai.yaml 333 B
- references/review-rules.json 12 KB
- references/scope-contract.md 3.2 KB
- references/tutti-layering.md 5.6 KB
- scripts/build-review-scope.mjs 8.5 KB runs code
- scripts/build-review-scope.test.mjs 5.4 KB runs code
- scripts/plan-review.mjs 32 KB runs code
- scripts/plan-review.test.mjs 13 KB runs code
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.
- 13d ago First seen · 170 lines · 48 tokens per session scan A 4fe3884dbf6a
tutti-architecture-review is a skill published in the GitHub repository tutti-os/tutti (3,717 stars, last pushed 7d ago), licensed Apache-2.0. It adds 48 tokens to every session and 2,036 once invoked, about $0.0002 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.
Other skills, from other repositories
codebase-sync
Convention discovery and rule generation from codebase analysis. Scans project structure, builds search indexes, identifies patterns, and generates enforceable rules.
code-review-patterns
Multi-dimensional code assessment across security, quality, performance, and maintainability with confidence-gated reporting (>=80%) and Router Contract generation.
code-review-orchestration
6-agent parallel code review orchestration covering architecture, security, performance, testing, quality, and documentation dimensions with weighted scoring.
code-review-pipeline
Multi-dimensional code review across correctness, security, performance, and maintainability with confidence-gated reporting and remediation loops.
orchestrated-execution
Execute work units through the rigorous 4-phase Metaswarm cycle (Implement -> Validate -> Adversarial Review -> Commit) with independent quality gate enforcement.
plan-implementation
Disciplined execution of approved plans with step-by-step verification, phase checkpoints, failure investigation, and mandatory code/security reviews.