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 skills/smart-ai-memory/attune-ai/agentnpx skills add Smart-AI-Memory/attune-ai --skill agentgit 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/skills/smart-ai-memory/attune-ai/agent)<a href="https://agentmods.dev/skills/smart-ai-memory/attune-ai/agent"><img src="https://agentmods.dev/badge/skills/smart-ai-memory/attune-ai/agent.svg" alt="Measured on agentmods" 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 | $0.00010 | $0.00400 |
| Opus 5 | $0.00005 | $0.00200 |
| Sonnet 5 | $0.00002 | $0.00080 |
| Haiku 4.5 | $0.00001 | $0.00040 |
Grade A, and why
agent 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 5d 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
agent
Create and manage custom AI agents and teams using the Attune Agent SDK.
Routes
| Subcommand | Action |
|---|---|
create |
Create a new agent |
create-team |
Create a multi-agent team |
run |
Run an existing agent |
list |
List available agents |
release-prep |
Run release prep agent team |
Usage
/agent # Ask what to do
/agent create # Create an agent
/agent create-team # Create a team
/agent run # Run an agent
/agent list # List agents
/agent release-prep # Run release prep team
Behavior
create
Use AskUserQuestion to understand:
- What should the agent do?
- What tier? (cheap, capable, premium)
- What tools does it need?
Then guide the user through agent definition using the SDK:
from attune.agents.sdk import SDKAgent
agent = SDKAgent(
agent_id="my-agent",
role="analyst",
tier="capable",
)
create-team
Use AskUserQuestion to understand:
- What's the team's goal?
- How many agents?
- What roles?
Then guide through team creation:
from attune.agents.sdk import SDKAgentTeam
team = SDKAgentTeam(
team_id="my-team",
agents=[agent1, agent2],
)
run
Use AskUserQuestion:
- Which agent or team to run?
- What input?
Then execute the agent.
list
Show available agents and teams from the registry.
release-prep
Run the release preparation agent team:
uv run attune workflow run release-prep
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.
- 5d ago First seen · 93 lines · 10 tokens per session scan A ccd2bc900fc5
agent is a skill published in the GitHub repository Smart-AI-Memory/attune-ai (10 stars, last pushed today), licensed Apache-2.0. It adds 10 tokens to every session and 400 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
Other skills, from other repositories
tmux
Manage long-running shell sessions with tmux — start a detached session, run a long task, reattach later, capture output. Use when a task takes longer than a single tool call (build, test, log tail).
lynkr
Universal LLM gateway with intelligent routing, Graphify code intelligence, Distill compression, routing telemetry, Code Mode, and 12+ provider support. 60-80% cost reduction for Claude Code, Cursor, and Codex.
web-research
Use this skill for requests related to web research; it provides a structured approach to conducting comprehensive web research.
story-setup
网文写作工具集基础设施部署。将 hooks/rules/agents/CLAUDE.md/AGENTS.md 等基础设施部署到用户项目目录，支持 Claude Code / OpenCode / Codex / OpenClaw。触发方式：/story-setup、$story-setup、「准备写书」「帮我搭一下环境」「配置写作项目」。.
novel-writing-assets
查看、启用、停用、组合、绑定、试写和重新编译 novel-studio 的长期写法资产。触发：「列出写法特征」「启用/停用某个写法」「组合写法」「绑定写法」「试写写法」「重编译写法规则」「维护写法资产」。.
novel-rewrite
通过 novel-studio pipeline 的 rewrite 阶段按评审反馈逐章 Writer 重写，会改动章节原文。触发：「按评审改写」「重写这几章」「根据意见润色正文」，在 novel-review 之后据反馈落地修改时使用。.