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 skills add Naridon-Inc/aura --skill aura-integrationgit clone --depth 1 https://github.com/Naridon-Inc/auraWrote 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/naridon-inc/aura/aura-integration)<a href="https://agentmods.dev/skills/naridon-inc/aura/aura-integration"><img src="https://agentmods.dev/badge/skills/naridon-inc/aura/aura-integration/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/naridon-inc/aura/aura-integration"><img src="https://agentmods.dev/badge/skills/naridon-inc/aura/aura-integration.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 | $0.00051 | $0.00257 |
| Opus 5.5 | $0.00020 | $0.00103 |
| Sonnet 5.5 | $0.00010 | $0.00051 |
| Haiku 4.5 | $0.00005 | $0.00026 |
Grade A, and why
aura-integration 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
Aura Semantic Integration
This skill enables the Gemini CLI to seamlessly integrate with the local Aura Semantic Version Control Engine.
Core Rule: The Intent Broadcast
Whenever you (the Gemini CLI) modify, add, or delete code in this project:
- Before you finish your turn, you MUST write a brief, 1-2 sentence summary of why you made those changes (your intent and reasoning).
- You MUST save this summary into a file named exactly
.gemini.intentin the root of the project using yourwrite_filetool. - Do not ask for permission to create this file. Simply create it or overwrite it whenever you modify source code.
This temporary file acts as the Handshake Protocol. The local Aura Git Hook will automatically read this file during the next git commit, permanently log your reasoning into the .aura_memory.db SQLite database alongside the AST logic hashes, and then delete the .gemini.intent file.
What ships with it
1 file 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.
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 · 19 lines · 51 tokens per session scan A 1a8c2fece10c
aura-integration is a skill published in the GitHub repository Naridon-Inc/aura (49 stars, last pushed 12d ago), licensed Apache-2.0. It adds 51 tokens to every session and 257 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 2026-08-30.
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Use this skill to work the open PR queue end-to-end: assess merge readiness, run security gates, selectively request Claude Opus review on substantial PRs, merge eligible PRs, and hand off release PRs to /release.