release

release is a skill for Claude Code, Codex from Smart-AI-Memory/attune-ai. It costs 6 tokens per session (813 once invoked), scanned A, original, Apache-2.0.

A release workflow for preparing, checking, auditing, and publishing a software release.

In plain words
What is it for?
Use it for release-readiness checks, security audits, health checks, release audits, version bumps, and publishing.
Why use it?
It brings tests, security, documentation, changelog, code health, and dependency checks into one release process.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: names the AskUserQuestion tool; installed under .agents/ (shared by several agents).

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

Made for: Claude Code, Codex.

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/skills/smart-ai-memory/attune-ai/release.svg)](https://agentmods.dev/skills/smart-ai-memory/attune-ai/release)
Your own site
<a href="https://agentmods.dev/skills/smart-ai-memory/attune-ai/release"><img src="https://agentmods.dev/badge/skills/smart-ai-memory/attune-ai/release.svg" alt="Measured on agentmods" height="20"></a>
Per session 6 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 813 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 5.1 $0.00006 $0.00813
Opus 5 $0.00003 $0.00407
Sonnet 5 $0.00001 $0.00163
Haiku 4.5 $0.00001 $0.00081

Measured 5d ago against content hash 13ac759dd837, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-05, 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 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.

.agents/skills/release/SKILL.md · 126 lines

How it starts

The opening of the file, as written. The whole thing — 126 lines — stays where its author put it; the contents beside it link to each section on GitHub.

release

Release preparation, validation, and publishing.

Routes

Subcommand Action
prep Release readiness checks
security Pre-release security audit
health Code health check
audit Release-audit stage — what class of defect could this release introduce?
publish Version bump and publish

Usage

/release                # Ask what to do
/release prep           # Release prep checks
/release security       # Security audit
/release health         # Health check
/release audit          # Release-audit stage (packet + sitting)
/release publish        # Publish release

Behavior

prep

Run release preparation workflow:

uv run attune workflow run release-prep

This checks:

  • Test suite passes
  • No critical security issues
  • Documentation is current
  • Changelog is updated

security

Run security audit focused on release readiness:

uv run attune workflow run security-audit --path src/

health

Run code health checks:

  • Test coverage
  • Lint status
  • Type check status
  • Dependency audit

audit

The release-audit stage (docs/specs/release-audit-stage/). The other release surfaces check hygiene; this one asks what class of defect THIS diff could have introduced. It sits every release (D2) — an empty residual still sits, which is cheap by design.

python -m attune.classes.stage --repo <owner/name>

Six steps: baseline (merge-base vs the last release tag) -> reconcile (CLOSED gates green in CI, bound to this head SHA) -> sweep (rules over the changed src/ surface, D10) -> residual packet -> sitting (three seats, one round) -> chair rules.

Exit codes are the contract:

Code Meaning What to do
0 Ready for the chair Rule each residual item
1 Aborted Read aborted_at — a red reconcile means fix CI first; seats never sit on a broken baseline
2 Residual exceeds schema v1 Split the release. The chair splits; the tool re-runs each partition. Never truncate.

Read the full file on GitHub · 126 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. 5d ago First seen · 126 lines · 6 tokens per session scan A 13ac759dd837

Subscribe to this mod's changes

release is a skill published in the GitHub repository Smart-AI-Memory/attune-ai (10 stars, last pushed today), licensed Apache-2.0. It adds 6 tokens to every session and 813 once invoked, about $0.0000 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.

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