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/openai/openai-agents-python/final-release-reviewnpx skills add openai/openai-agents-python --skill final-release-reviewgit clone --depth 1 https://github.com/openai/openai-agents-pythonWhat 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 | $0.00064 | $0.03472 |
| Opus 5 | $0.00032 | $0.01736 |
| Sonnet 5 | $0.00013 | $0.00694 |
| Haiku 4.5 | $0.00006 | $0.00347 |
Grade A, and why
final-release-review 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 3d 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.
How it starts
The opening of the file, as written. The whole thing — 236 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Final Release Review
Purpose
Audit BASE_TAG...TARGET in one of two modes:
- Pre-release planning: use when the user asks to plan the next release or when the target, normally
origin/main, does not yet declare a release candidate. The user may still supply a tentativepatchorminorintent. Recommend the compatible type; do not treat unchanged package metadata as a blocker. - Final candidate: use when the user asks for a final candidate decision, the target is a release branch, or target package metadata has already been bumped beyond BASE for the next release. Compare the candidate intent with the minimum release type required by the diff.
In both modes, find concrete regressions and release risks, independently determine version compatibility, review the latest open documentation PRs before claiming coverage is missing, and produce an actionable release handoff. Keep documentation readiness separate from the release gate. The release call is a controlling checker result: callers must stop on BLOCKED and may continue only on GREEN LIGHT TO SHIP. Producing the report text is not itself a passing result.
Quick start
- Ensure the repository root is
openai-agents-python. When a caller supplies a dedicated candidate worktree, run every local inspection from that worktree rather than another checkout of the repository. - Sync remote tags and choose the previous release:
BASE_TAG="$(.agents/skills/final-release-review/scripts/find_latest_release_tag.sh origin 'v*')" - Refresh and resolve the target, defaulting to
origin/main:git fetch origin main --prune TARGET="$(git rev-parse origin/main)" - Resolve review mode independently from release intent:
- Honor an explicit user request for pre-release planning or final-candidate review.
- Otherwise, use final-candidate mode only when the target is a release branch or its package metadata has already been bumped beyond BASE for the next release.
- Otherwise, use pre-release planning mode.
- Resolve release intent separately, without asking when repository state already answers it:
- User-supplied version or
patch/minorintent. - A target branch name or target package version that declares the next release.
- Otherwise, set intent to
unspecified. - If final-candidate mode was explicitly requested but intent remains
unspecified, ask for the intended type or version before issuing a final-candidate gate. If the user prefers an uninterrupted review, switch to pre-release planning and make a recommendation instead.
- User-supplied version or
- Snapshot the release diff:
git diff --stat "${BASE_TAG}"..."${TARGET}" git diff --dirstat=files,0 "${BASE_TAG}"..."${TARGET}" git log --oneline --reverse "${BASE_TAG}".."${TARGET}" git diff --name-status "${BASE_TAG}"..."${TARGET}" - Audit the diff with
references/review-checklist.md, determine the minimum release type, and prove or dismiss each candidate against the released contract. - Discover and review relevant open documentation PRs using current read-only GitHub state. Do not infer coverage from local branches, titles, or historical context.
- Report the release intent, ship/block gate, risk assessment, documentation coverage, and conditional minor-release Key Changes draft.
What ships with it
3 files 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.
- 3d ago First seen · 236 lines · 64 tokens per session scan A 185ec2bb1306
final-release-review is a skill published in the GitHub repository openai/openai-agents-python (29,123 stars, last pushed yesterday), licensed MIT. It adds 64 tokens to every session and 3,472 once invoked, about $0.0003 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 2026-08-30.
Other skills, from other repositories
release-doc-sync
Prepares or applies bounded documentation updates for the current workspace changes.
publish-npm-package
Configure or troubleshoot npm package publication with GitHub Actions and npm Trusted Publishing. Use this skill for JavaScript or TypeScript packages. Also use it for the npm package in a mixed-language repository. Do not use it for applications or repositories without an npm package. Do not use it for generic CI…
agent-release-manager
Agent skill for release-manager - invoke with $agent-release-manager.
agent-release-swarm
Agent skill for release-swarm - invoke with $agent-release-swarm.
agent-github-modes
Agent skill for github-modes - invoke with $agent-github-modes.
agent-framework-py-release
Use when cutting a Python release for the microsoft/agent-framework monorepo. Triggers on "bump py versions", "cut a python release", "prepare release PR for python", "release py packages", "bump python to X.Y.Z", or similar requests to bump Python package versions and prepare a release PR. Handles all four lifecycle…