final-release-review

A release-review process for the openai-agents-python package, a Python library for building AI agent applications. It compares changes with an earlier release, checks compatibility and regressions, and reviews documentation readiness.

In plain words
What is it for?
For planning or reviewing a release candidate, finding regressions, checking API or behavior changes, reviewing documentation coverage, and deciding whether to ship.
Why use it?
It helps determine whether a release is safe and whether its version number matches the changes it contains.

Skill for Claude CodeCodex

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/openai/openai-agents-python/final-release-review
Any agent
npx skills add openai/openai-agents-python --skill final-release-review
Clone the repo
git clone --depth 1 https://github.com/openai/openai-agents-python

Made for: Claude Code, Codex.

Per session 64 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,472 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 $0.00064 $0.03472
Opus 5 $0.00032 $0.01736
Sonnet 5 $0.00013 $0.00694
Haiku 4.5 $0.00006 $0.00347

Measured 3d ago against content hash 185ec2bb1306, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

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.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/find_latest_release_tag.sh), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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/final-release-review/SKILL.md · 236 lines

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 tentative patch or minor intent. 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

  1. 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.
  2. Sync remote tags and choose the previous release:
    BASE_TAG="$(.agents/skills/final-release-review/scripts/find_latest_release_tag.sh origin 'v*')"
    
  3. Refresh and resolve the target, defaulting to origin/main:
    git fetch origin main --prune
    TARGET="$(git rev-parse origin/main)"
    
  4. Resolve review mode independently from release intent:
    1. Honor an explicit user request for pre-release planning or final-candidate review.
    2. 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.
    3. Otherwise, use pre-release planning mode.
  5. Resolve release intent separately, without asking when repository state already answers it:
    1. User-supplied version or patch/minor intent.
    2. A target branch name or target package version that declares the next release.
    3. Otherwise, set intent to unspecified.
    4. 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.
  6. 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}"
    
  7. Audit the diff with references/review-checklist.md, determine the minimum release type, and prove or dismiss each candidate against the released contract.
  8. Discover and review relevant open documentation PRs using current read-only GitHub state. Do not infer coverage from local branches, titles, or historical context.
  9. Report the release intent, ship/block gate, risk assessment, documentation coverage, and conditional minor-release Key Changes draft.

Read the full file on GitHub · 236 lines

Files

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.

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. 3d ago First seen · 236 lines · 64 tokens per session scan A 185ec2bb1306

Subscribe to this mod's changes

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.