What is pr-production-gate?

An automated gate for GitHub pull requests, which are proposed code changes awaiting review, and production deployments, which publish code for real users.

Use it to review eligible pull requests, run container-based tests with simulated external services, reject failures with evidence, deploy passing changes, and verify the deployment.

It prevents unproven or unsafe changes from deploying by requiring local validation, deployment checks, and evidence for each decision.

pr-production-gate — Skill for Codex by jimtin/production-ai

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.

Any agent

npx skills add jimtin/production-ai --skill pr-production-gate

Clone the repo

git clone --depth 1 https://github.com/jimtin/production-ai

Made for: 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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/jimtin/production-ai/pr-production-gate/github.svg)](https://agentmods.dev/skills/jimtin/production-ai/pr-production-gate)

Your own site

<a href="https://agentmods.dev/skills/jimtin/production-ai/pr-production-gate"><img src="https://agentmods.dev/badge/skills/jimtin/production-ai/pr-production-gate/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

Your own site · 80×15

<a href="https://agentmods.dev/skills/jimtin/production-ai/pr-production-gate"><img src="https://agentmods.dev/badge/skills/jimtin/production-ai/pr-production-gate.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 119 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 2,511 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

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.

Model	Per session	Once invoked
Fable 5.1	$0.00119	$0.02511
Opus 5.5	$0.00048	$0.01004
Sonnet 5.5	$0.00024	$0.00502
Haiku 4.5	$0.00012	$0.00251

Measured 2mo ago against content hash c771e0eb5770, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

pr-production-gate 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 2mo 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.

skills/pr-production-gate/SKILL.md · 152 lines

How it starts

The opening of the file, as written. The whole thing — 152 lines — stays where its author put it; the contents beside it link to each section on GitHub.

PR Production Gate

Purpose

Use this skill to operate or extend the fully automatic PR production gate. The gate reviews GitHub PRs for a configured repo, validates them locally in containers, rejects unsafe PRs with evidence, promotes passing PRs through the configured deployment train, verifies provider deployments, and updates repo-specific learning profiles.

The default outcome is fail closed. If any required proof is missing, inconclusive, host-only, dependent on live providers during review, or tied to a moving SHA, the PR must not deploy.

Run Statuses

Every run ends in exactly one status from this closed set:

deployed: a candidate passed every gate and the promotion train completed with smoke proof.
rejected: a candidate failed; REQUEST_CHANGES posted with redacted evidence.
no_eligible_prs: nothing to review — reached through the no-work fast path, cheaply.
already_running: a healthy lock exists; this run exits without touching it.
waiting_on_author: eligible PRs are all awaiting changes from a previous rejection.
blocked_infra: the doctor preflight failed closed (disk, Docker, orphaned state) — no review work attempted.

A run that cannot name its status is a failed run.

Run Economics

A gate that is expensive when idle will be turned off. Idle cost is a design requirement:

Run a no-work fast path before any expensive setup: check the lock, query eligible PRs, and exit no_eligible_prs or already_running in seconds — never build the full controller to discover there is nothing to do.
Bounded idle cost: the scheduled run's no-work path must stay cheap enough to run on every tick without anyone noticing.
Lane proofs may be cached and reused only with integrity constraints: keyed by a content fingerprint of that lane's exact inputs, scoped to the lane, with a bounded TTL. A cached proof never substitutes for the SHA lock, and any doubt about cache validity invalidates it — fail closed, re-run the lane.
Flaky tests are quarantined, never silently retried: a test that fails then passes without a code change gets a quarantine entry with an expiry date and a tracking issue. Quarantined tests cannot guard deploy lanes, and retry-until-green is forbidden.

Read the full file on GitHub · 152 lines

Files

What ships with it

5 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.

2mo ago First seen · 152 lines · 119 tokens per session scan A c771e0eb5770

Subscribe to this mod's changes

pr-production-gate is a skill published in the GitHub repository jimtin/production-ai (1 stars, last pushed 4mo ago), licensed MIT. It adds 119 tokens to every session and 2,511 once invoked, about $0.0005 per session on Opus 5.5. 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.

CI and CD Claude Code Code review DevOps and cloud Guardrails agent-skills ai-agents codex-cli

pr-production-gate next to 6 skills from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
pr-production-gatejimtin/production-ai	Skill	1	4mo ago	MIT	A	119	Codex
verification-and-releasecmdr-chara/codex-toolkit	Skill	2	28d ago	MIT	A	32	Codex
green-prsdiegosouzapw/OmniRoute	Skill	83k	6d ago	MIT	A	51	Claude Code, Codex
ai-qa-reviewpetrkindlmann/qa-skills	Skill	253	16d ago	MIT	A	133	Claude Code, Codex
tech-debt-ci-reviewZaxbyHub/opencode-swarm	Skill	517	today	MIT	A	61	Codex
code-that-fits-in-your-headCodeAlive-AI/ai-driven-development	Skill	168	today	MIT	A	169	Claude Code
programming-advisorrjmurillo/ai-agents	Skill	49	yesterday	MIT	A	113	Claude Code