release

release is a command for coding agents from Smart-AI-Memory/attune-ai. It costs 10 tokens per session (1,003 once invoked), scanned A, original, Apache-2.0.

A release assistant for checking a project, preparing a new version, scanning for security problems, and publishing Python packages to PyPI, the main package registry for Python.

In plain words
What is it for?
Use it to prepare a release, run a pre-release security audit, check project health, change the version, or publish to PyPI.
Why use it?
It gathers project status and health information before shipping, helping catch unfinished changes or security issues before a release.

Command

Install

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.

agentmods
npx agentmods add commands/smart-ai-memory/attune-ai/release
Clone the repo
git clone --depth 1 https://github.com/Smart-AI-Memory/attune-ai

Wrote 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.

agentmods badge for release

README.md
[![agentmods](https://agentmods.dev/badge/commands/smart-ai-memory/attune-ai/release.svg)](https://agentmods.dev/commands/smart-ai-memory/attune-ai/release)
Your own site
<a href="https://agentmods.dev/commands/smart-ai-memory/attune-ai/release"><img src="https://agentmods.dev/badge/commands/smart-ai-memory/attune-ai/release.svg" alt="Measured on agentmods" height="20"></a>
Per session 10 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,003 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00010 $0.01003
Opus 5 $0.00005 $0.00502
Sonnet 5 $0.00002 $0.00201
Haiku 4.5 $0.00001 $0.00100

Measured yesterday against content hash 6845339d041f, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

release 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.

src/attune/commands/release.md · 116 lines

How it starts

The opening of the file, as written. The whole thing — 116 lines — stays where its author put it; the contents beside it link to each section on GitHub.

release

Release preparation, security scanning, and publishing hub.

Quick Shortcuts

Shortcut Action
/release prep Full release preparation workflow
/release security Pre-release security audit
/release health Full project health check
/release publish Build and publish to PyPI
/release version <v> Bump version number

Natural Language

Describe what you need:

  • "prepare for release"
  • "run a security scan before shipping"
  • "is the project healthy enough to release?"
  • "publish to PyPI"
  • "bump version to 5.2.0"

CRITICAL: Workflow Execution Instructions

When this command is invoked with arguments, you MUST execute the workflow, not answer ad-hoc.

Context Gathering (ALWAYS DO FIRST)

Before executing any action below, gather current project context:

  1. Run: git status --short
  2. Run: git log --oneline -5
  3. Run: git branch --show-current
  4. Run: grep '^version' pyproject.toml (current version)

Use this context to inform release decisions (e.g., uncommitted changes, current version, branch).

Reasoning Approach

For release decisions, use structured reasoning to make a go/no-go recommendation:

Shortcut Routing (EXECUTE THESE)

Input Action
/release prep Run Release-Prep wizard: version info → readiness check → changelog → decompose tasks → preview → confirm
/release security Run Security wizard: define scope → scan → generate fixes → decompose remediation → preview
/release health Run pytest + coverage + ruff + bandit, report aggregate results
/release publish uv run python -m build && uv run twine upload dist/*
/release version <v> Update version in pyproject.toml and src/attune/__init__.py

Read the full file on GitHub · 116 lines

Changes

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.

  1. yesterday First seen · 116 lines · 10 tokens per session scan A 6845339d041f

Subscribe to this mod's changes

release is a command 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 1,003 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 2026-09-03.