Agent skill

Release Readiness Hardening

by swyxio in swyxio/skills

Audit or harden an existing application's release readiness, including deploy prerequisites, minimal release gates, rollback, production-shaped smoke checks, and post-deploy verification.

MITAuto-check passedProduct & Project Management

Install Release Readiness Hardening

skills CLI
$ npx skills add swyxio/skills --skill release-readiness-hardening -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install swyxio/skills release-readiness-hardening --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/swyxio/skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/release-readiness-hardening .claude/skills/release-readiness-hardening && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
release-readiness-hardening
GitHub stars
176
Token cost
~1.2k tokens
SKILL.md length
607 words
Files
3 (incl. references)
Skills in repo
89
Repo updated
First seen
Licence
MIT

At a glance

Audit or harden an existing application's release readiness, including deploy prerequisites, minimal release gates, rollback, production-shaped smoke checks, and post-deploy verification.

  • Works in 5 steps: Inventory release surfaces and cost → Choose the minimum sufficient gates → Close demonstrated gaps → …
  • Explicitly asks for a release-readiness review
  • SKILL.md covers Counterweight: simplify before…, Workflow and Quality Bar
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Release Readiness Hardening is an agent skill from swyxio/skills. Audit or harden an existing application's release readiness, including deploy prerequisites, minimal release gates, rollback, production-shaped smoke checks, and post-deploy verification. Use only when the user explicitly asks for a release-readiness review, deploy or release gates, rollback rehearsal, production verification, or hardening of a deployment path. Do not trigger merely because work will eventually be merged, shipped, deployed, or touches CI/CD.

Its SKILL.md is about 1.2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files, including reference files (for example `agents/openai.yaml` and `references/checklist.md`).

It sits in Product & Project Management, covering Feature launches and release readiness. The repository describes itself as: Agent skills for Claude Code and other AI agents. The licence is MIT.

When your agent uses it

  • Explicitly asks for a release-readiness review
  • Rollback rehearsal
  • Production verification
  • Hardening of a deployment path

Example prompts

  • “/release-readiness-hardening”

Workflow steps

5 steps, taken from the first numbered list in SKILL.md.

  1. Inventory release surfaces and cost
  2. Choose the minimum sufficient gates
  3. Close demonstrated gaps
  4. Run an authorized release rehearsal when needed
  5. Ship report

What it can do on your machine

Read from SKILL.md and the folder at commit 038ef34. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Release Readiness Hardening loads about 1.2k tokens when it runs, and up to ~1.8k if it reads all its reference files. Until then it costs about 123 tokens; SKILL.md has 607 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~123
When it runs · the whole SKILL.md, loaded when a task matches
~1.2k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~1.8k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from swyxio/skills at commit 038ef34, republished under its MIT licence (© swyxio). 607 words, ~1,225 tokens.

Download SKILL.mdSave it as .claude/skills/release-readiness-hardening/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.
name
release-readiness-hardening
description
Audit or harden an existing application's release readiness, including deploy prerequisites, minimal release gates, rollback, production-shaped smoke checks, and post-deploy verification. Use only when the user explicitly asks for a release-readiness review, deploy or release gates, rollback rehearsal, production verification, or hardening of a deployment path. Do not trigger merely because work will eventually be merged, shipped, deployed, or touches CI/CD.

Release Readiness Hardening

Use this skill to answer: can this ship safely, and what is the smallest sufficient proof? Treat every gate, identity, queue, receipt, and manual step as operational cost.

Counterweight: simplify before adding

  • Start from current callers, stored data, provider facts, and failure history. Do not preserve machinery merely because it exists.
  • Inventory existing controls before proposing new ones. Delete, combine, or narrow controls that duplicate the same authority or fact.
  • Add a gate only for a concrete material failure mode not already covered. Record why a cheaper existing signal is insufficient.
  • When one trusted system builds, deploys, and observes production end to end, do not invent signatures, admission ceremonies, or proof handoffs between its internal stages.
  • Prefer authoritative external facts—exact source, immutable provider version, traffic, health, and rollback target—over duplicated internal evidence.
  • Do not create bookkeeping PRs, proof PRs, smoke commits, or known-impossible release attempts solely to exercise release machinery.
  • For self-hosting CI/CD changes, validate with the currently trusted base configuration, then reload the merged configuration after merge. Do not require a new workflow to authorize the change that introduces it.
  • A typed pre-mutation failure is a valid safe outcome. Stop, preserve the failure and unchanged production state, and identify the smallest real fix; do not manufacture source changes to obtain different evidence.
  • Skip preview, staging, feature flags, smoke data, or extra monitoring when they do not reduce a concrete risk. Mark them not applicable instead of adding ceremony.
  • User architecture and scope decisions override this generic checklist. Do not broaden an audit request into implementation or a local implementation request into production mutation.

Workflow

  1. Inventory release surfaces and cost

    • Inspect only release surfaces relevant to the requested review: build, runtime config, migrations, storage, queues, providers, health, monitoring, or rollback.
    • Trace the current CI/CD and production path far enough to answer the release question.
    • For each gate, identity, queue, and receipt, name its caller, durable reader, failure mode, and deletion consequence.
    • Produce a concise keep/delete/consolidate map when the release system is already complex.
  2. Choose the minimum sufficient gates

    • Select focused local checks in proportion to the touched risk; do not default to every global gate.
    • Select integration, migration, smoke, and post-deploy checks only when relevant.
    • Reuse exact provider, source, traffic, and health facts instead of generating parallel evidence.
  3. Close demonstrated gaps

    • Prefer deleting redundant states and handoffs before adding validation.
    • Add startup or environment validation, health checks, smoke scripts, feature flags, or kill switches only for demonstrated gaps.
    • Keep rollback instructions concrete for code, config, and data changes.
  4. Run an authorized release rehearsal when needed

    • Execute local gates and record results.
    • Deploy to preview or staging only when it exists and materially reduces risk.
    • Mutate production only when the active user request explicitly authorizes it.
    • Verify only affected routes, state, dependencies, traffic, logs, or metrics.
    • If smoke data was needed, clean it up and confirm no residue.
    • Stop at the first bounded terminal failure; do not patch inline or create synthetic source changes to force another attempt.
  5. Ship report

    • State shipped version/commit/deployment URL.
    • List gates passed, skipped, or blocked.
    • List known risks, rollback steps, and what to monitor next.
Show full SKILL.md (80 more words)Show less

Quality Bar

  • Reviewed required environment fails early with a clear message when relevant.
  • Deploy verification uses production-shaped facts when deployment is in scope.
  • Rollback is concrete when mutation risk requires it.
  • Any smoke test leaves no permanent test data.
  • The control set is no larger than the concrete risks justify.
  • Safe pre-mutation failure is reported as evidence, not treated as pressure to bypass the design.
  • The final answer distinguishes green gates from accepted risk.

For the audit checklist, read checklist.md.

© swyxio, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 2 other files (references) in release-readiness-hardening of swyxio/skills.

  • SKILL.md
  • agents/openai.yaml
  • references/checklist.md

Open the folder on GitHubat commit 038ef34

Compare with similar skills

Release Readiness Hardening next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Release Readiness Hardening compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Release Readiness Hardening this skillswyxio/skills176—~1.2kAutomated safety check: PassMIT
.NET MAUI Release Readinessdotnet/maui23k—~15kAutomated safety check: PassMIT
QA Releasejitpass/jit161—~1.1kAutomated safety check: PassCustom licence
Instantly Prod Checklistjeremylongshore/tons-of-skills-marketplace2.8k—~1.1kAutomated safety check: PassMIT
Data Validation Patternsrevfactory/harness-1001.3k—~1.7kAutomated safety check: PassApache-2.0
Feature Flag Guidemohitagw15856/pm-claude-skills1.4k—~3.9kAutomated safety check: PassMIT

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Questions about Release Readiness Hardening

What does Release Readiness Hardening do?

Audit or harden an existing application's release readiness, including deploy prerequisites, minimal release gates, rollback, production-shaped smoke checks, and post-deploy verification. Release Readiness Hardening is an agent skill from swyxio/skills. Audit or harden an existing application's release readiness, including deploy prerequisites, minimal release gates, rollback, production-shaped smoke checks, and post-deploy verification.

When should I use Release Readiness Hardening?

Release Readiness Hardening fits situations like: explicitly asks for a release-readiness review; rollback rehearsal; production verification; hardening of a deployment path.

How do I install Release Readiness Hardening in Claude Code?

Run `npx skills add swyxio/skills --skill release-readiness-hardening -a claude-code`. Or copy the skill folder (release-readiness-hardening in swyxio/skills) into .claude/skills/release-readiness-hardening in your project. Claude Code loads it when a task matches its description.

How do I install Release Readiness Hardening in Codex?

Run `npx skills add swyxio/skills --skill release-readiness-hardening -a codex`. Or copy the skill folder (release-readiness-hardening in swyxio/skills) into .agents/skills/release-readiness-hardening in your project. Codex loads it when a task matches its description.

Can I use Release Readiness Hardening in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add swyxio/skills --skill release-readiness-hardening -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/release-readiness-hardening, .gemini/skills/release-readiness-hardening, .github/skills/release-readiness-hardening and .opencode/skills/release-readiness-hardening in your project.

What does Release Readiness Hardening need to run?

SKILL.md names no scripts, command-line tools or credentials: Release Readiness Hardening is instructions for the agent only.

Does Release Readiness Hardening access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Release Readiness Hardening safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Release Readiness Hardening use?

Release Readiness Hardening is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Release Readiness Hardening use?

About 1.2k tokens (SKILL.md is roughly 4.9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 563 tokens, read only when the agent opens those files.

What are the alternatives to Release Readiness Hardening?

Skills that share tags, products or a category with Release Readiness Hardening: .NET MAUI Release Readiness (dotnet/maui, 23k stars), QA Release (jitpass/jit, 161 stars), Instantly Prod Checklist (jeremylongshore/tons-of-skills-marketplace, 2.8k stars) and Data Validation Patterns (revfactory/harness-100, 1.3k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Release Readiness Hardening?

swyxio (a GitHub user) maintains it in swyxio/skills, which has 176 GitHub stars. The repository holds 89 skills in this directory. The repository was last updated on October 5, 2026.

Source: swyxio/skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.