release-engineering

A software-release workflow for deciding whether a change is ready, deploying it gradually, and checking that it works in production. It records evidence and defines when to continue, stop, or roll back.

In plain words
What is it for?
It helps prepare release records, set CI and security gates, run canary releases, compare production results with earlier measurements, verify recovery, and clean up after deployment.
Why use it?
It reduces the risk of releasing a broken change all at once. Clear checks and rollback conditions make launch decisions less dependent on guesswork.

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/thiientv/godmode/release-engineering
Any agent
npx skills add thiientv/godmode --skill release-engineering
Clone the repo
git clone --depth 1 https://github.com/thiientv/godmode

Made for: Claude Code, Codex.

Per session 76 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 541 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 $0.00076 $0.00541
Opus 5 $0.00038 $0.00270
Sonnet 5 $0.00015 $0.00108
Haiku 4.5 $0.00008 $0.00054

Measured 2d ago against content hash 5b42eac0fb9e, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

release-engineering 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 2d 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/release-engineering/SKILL.md · 65 lines

How it starts

The opening of the file, as written. The whole thing — 65 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Release Engineering

Turn a release into a sequence of evidence-backed decisions rather than one irreversible event.

Build the release contract

Record the artifact/version, environments, owner, change scope, affected users, data or contract changes, dependencies, risk class, maintenance window, and success metrics. Use release-record.md for the go/no-go and rollout record.

Establish gates

Require checks proportional to risk: build and tests, contract and migration proof, security findings, performance budgets, smoke paths, accessibility or visual checks, artifact signing/provenance, monitoring, and a tested recovery path. A green generic pipeline is not proof of the release's critical behavior.

Roll out safely

  1. Separate deployment from exposure with a flag or routing control when practical.
  2. Start with internal, shadow, canary, or low-percentage traffic.
  3. Compare errors, latency, saturation, business outcomes, and support signals against a pre-release baseline.
  4. Promote only after the observation window and all gates pass.
  5. Roll back or disable immediately when a predefined threshold is crossed.
  6. Verify recovery, communicate status, and preserve the timeline.

For canaries and production observation windows, use post-deploy-verification.md. Confirm the deployed build marker, run critical browser journeys through browser-testing, and record each promote, hold, or rollback decision against fresh baseline evidence.

Use immutable artifacts across environments. Keep release credentials out of logs and command lines. Require explicit authority for production mutation.

Close the release

Verify critical paths after deployment, monitor delayed jobs and regional effects, remove stale flags and compatibility paths on schedule, update release notes, and create owned follow-ups for non-blocking debt. Never substitute a successful deployment command for an observation window. Use incident-response if live impact begins and safe-migrations for stateful cutovers.

Read the full file on GitHub · 65 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. 2d ago First seen · 65 lines · 76 tokens per session scan A 5b42eac0fb9e

Subscribe to this mod's changes

release-engineering is a skill published in the GitHub repository thiientv/godmode (93 stars, last pushed 7d ago), licensed MIT. It adds 76 tokens to every session and 541 once invoked, about $0.0004 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.

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