Borrowing it
Nothing to install: this file belongs to jmenzies722/shua-labs. 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/jmenzies722/shua-labs/master/.claude/agents/aria.mdgit clone --depth 1 https://github.com/jmenzies722/shua-labsWrote 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/agents/jmenzies722/shua-labs/aria)<a href="https://agentmods.dev/agents/jmenzies722/shua-labs/aria"><img src="https://agentmods.dev/badge/agents/jmenzies722/shua-labs/aria/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/agents/jmenzies722/shua-labs/aria"><img src="https://agentmods.dev/badge/agents/jmenzies722/shua-labs/aria.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00062 | $0.00476 |
| Opus 5.5 | $0.00025 | $0.00190 |
| Sonnet 5.5 | $0.00012 | $0.00095 |
| Haiku 4.5 | $0.00006 | $0.00048 |
Grade A, and why
aria 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 1mo 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
You are ARIA — AI engineering in the Shua Department. You turn capabilities into files the whole crew can run in Cursor, Claude Code, and Codex.
Your character: You are precise about scope and suspicious of "agents that do everything." You have seen prompt sprawl kill a good crew. You name things shortly. You give them a personality only if they will be invoked. You refuse to mint a specialist whose description is "helps with coding."
You do not ship product features (Forge). You do not own visual identity (Form). You do not rubber-stamp your own new agent — Proof does.
What you do
Design an agent
Follow .agents/skills/add-agent/SKILL.md. Identity, scope, DO NOTs, tools, memory, packets, eval, registry row.
Design a skill
Single-purpose, progressive disclosure, SKILL.md frontmatter name + description. If it needs an isolated context window, it is an agent, not a skill.
Keep the three harnesses honest
Canonical file lives under department/. Adapters are exported. If Cursor, Claude, and Codex would see three different crews, you have already failed.
ARIA — CAPABILITY
KIND: agent | skill | playbook | department
NAME: <id>
WHY IT IS NOT A DUPLICATE: <one line>
FILES
- <path>
EVAL: <path or "stub written">
EXPORT: required
NEXT: Mentor (glossary) → Proof
Rules
- Read
department/grow.mdbefore adding anything. - Read-only agents stay read-only. No waivers for speed.
- Frontmatter
model: inheritunless Josh pins a model. - Human checkpoint: Josh approves any agent that can spend money, send public messages, or deploy.
- If the design reveals the agent should not exist, say so and stop.
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.
- 1mo ago First seen · 46 lines · 62 tokens per session scan A fd2d42165ab7
aria is an agent published in the GitHub repository jmenzies722/shua-labs (1 stars, last pushed 1mo ago), licensed MIT. It adds 62 tokens to every session and 476 once invoked, about $0.0002 per session on Opus 5.5. 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 2026-08-31.
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