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.
/plugin marketplace add Smart-AI-Memory/attune-ainpx agentmods add plugins/smart-ai-memory/attune-ai/plugingit clone --depth 1 https://github.com/Smart-AI-Memory/attune-aiWrote 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/plugins/smart-ai-memory/attune-ai/plugin)<a href="https://agentmods.dev/plugins/smart-ai-memory/attune-ai/plugin"><img src="https://agentmods.dev/badge/plugins/smart-ai-memory/attune-ai/plugin.svg" alt="Measured on agentmods" height="20"></a>Grade A, and why
attune-ai 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 yesterday.
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
{
"name": "attune-ai",
"version": "16.2.1",
"description": "Persistent memory and receipt-verified workflows for Claude Code — /spec plans, reviews, and executes with quality gates; plus security audits, code reviews, test generation, and release prep from /attune.",
"author": {
"name": "Smart AI Memory",
"email": "[email protected]"
},
"homepage": "https://smartaimemory.com",
"repository": "https://github.com/Smart-AI-Memory/attune-ai",
"license": "Apache-2.0",
"keywords": ["workflows", "security", "code-review", "testing", "release-prep", "cost-optimization", "claude-code", "memory", "agent-memory", "mcp"]
}
What it installs
The manifest is a name and a version. 1 command, 6 agents, 1 hook travel with it, and installing the plugin installs all of them — 402 tokens a session between them. Each is measured on its own page, and each can be installed alone.
What ships with it
1 file beside plugin.json 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.
- yesterday First seen · 14 lines scan A 917ccab756c2
attune-ai is a plugin published in the GitHub repository Smart-AI-Memory/attune-ai (10 stars, last pushed yesterday), licensed Apache-2.0. Its token cost is not measured: this kind of file is read by the harness, not the model. 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 2026-09-03.
Other plugins, from other repositories
hindsight-memory
Automatic long-term memory for Claude Code via Hindsight. Recalls relevant memories before each prompt and retains conversation transcripts after each response.
titen-memory
Use Titen's evidence-grounded collaborative memory. The local stdio mode needs no configuration; a served Titen endpoint is the alternative for a shared store.
kb
Build and maintain LLM-powered knowledge bases as Obsidian wikis with compile, query, lint, and evolve workflows.
smartcompact
Human-in-the-loop context compaction for Claude Code. You choose which turns survive; a SessionStart hook re-injects them deterministically after every compact and resume.
mnemos-memory
Biomimetic long-term memory for Claude Code with surprisal gating, mutable reconsolidation, affective routing, and sleep consolidation.
nextjs
Official Next.js skills: adopt and optimize Cache Components, adopt Partial Prefetching, and verify runtime behavior against a running dev server.