MR
Mayur Rathi
@sickn33
⭐ 47.3k GitHub stars

production-runtime-certification

production-runtime-certification is an engineering AI skill with a core value of Certify a deployed service with fresh evidence across source, CI, migrations, runtime health, readiness, and critical routes; use before declaring a release production-ready. It helps developers solve real-world problems in the engineering domain, boosting efficiency, automating repetitive tasks, and optimizing workflows.

Certify a deployed service with fresh evidence across source, CI, migrations, runtime health, readiness, and critical routes; use before declaring a release production-ready.

Last verified on: 2026-10-06

Quick Facts

Category engineering
Works With Claude
Source sickn33/antigravity-awesome-skills
Stars ⭐ 47.3k
Last Verified 2026-10-06
Risk Level Low
mkdir -p ./skills/production-runtime-certification && curl -sfL https://raw.githubusercontent.com/sickn33/antigravity-awesome-skills/main/skills/production-runtime-certification/SKILL.md -o ./skills/production-runtime-certification/SKILL.md

Run in terminal / PowerShell. Requires curl (Unix) or PowerShell 5+ (Windows).

Skill Content

# Production Runtime Certification


Overview


Produce an evidence-backed release verdict that distinguishes code quality, CI success, deployment success, and live runtime health. The skill prevents a green pipeline or successful deploy event from being treated as proof that a service is usable in its target environment.


When to Use This Skill


- Before declaring a release, environment, or migration production-ready.

- After a deployment when CI is green but runtime health is unknown or failing.

- During release audits that require a concise PASS, FAIL, or BLOCKED decision with reproducible evidence.

- When handing a deployed service from engineering to operations or a client.


Do not use this skill as a substitute for feature acceptance, security review, load testing, disaster-recovery exercises, or regulatory approval.


Certification Contract


Agree on these inputs before testing:


- exact source revision, repository, and target environment;

- deployment identifier and expected artifact or image digest when available;

- health and readiness endpoints plus expected success semantics;

- migration mechanism and expected schema version;

- critical user journeys or routes;

- authorized, non-destructive probes and credential boundaries.


If the target, authorization, or success criteria are ambiguous, stop and request clarification. Never probe an unrelated environment, expose credentials in output, or modify production data merely to obtain a passing result.


Evidence Model


Record every gate as one of:


- **PASS** — fresh evidence satisfies the agreed criterion.

- **FAIL** — fresh evidence disproves the criterion.

- **BLOCKED** — the gate could not be tested because access, tooling, configuration, or an upstream dependency is unavailable.

- **NOT APPLICABLE** — the gate is deliberately excluded with a written reason.


`BLOCKED` is not `PASS`. An overall certification can be **GREEN** only when every required gate passes. Any required failure produces **RED**; any required blocked gate with no failure produces **BLOCKED**.


Workflow


1. Pin the Subject


Capture the immutable source revision and intended runtime artifact. Confirm that the deployed artifact maps to that revision. A branch name, local working tree, or “latest deployment” label is not immutable evidence.


2. Verify Source and CI


Run the repository's current validation and test commands on the pinned revision. Inspect the required CI jobs for the same revision, including conclusion and timestamp. Do not infer full CI success from one job or from an older run.


3. Verify Deployment Identity


Confirm that the target environment reports the expected deployment, revision, or artifact digest. Record the environment and deployment identifiers without copying secrets or sensitive configuration values.


4. Verify Database State


Use the application's supported migration status or a read-only schema-version query. Confirm migrations completed on the target database and that the application is not running against an unexpected database or schema.


Do not apply, roll back, repair, or stamp migrations unless the user separately authorizes that mutation and a recovery plan exists.


5. Probe Liveness and Readiness


Test liveness and readiness separately when both exist:


- **Liveness** shows that the process can respond.

- **Readiness** shows that the service can handle intended traffic and required dependencies are available.


Record timestamp, target, status code, bounded response summary, and latency. Redact tokens, cookies, internal hostnames, database addresses, and response fields that contain secrets or personal data.


6. Exercise Critical Routes


Run the smallest authorized smoke suite that proves the agreed critical journeys. Prefer synthetic or test records and read-only probes. For authenticated routes, use designated test identities with least privilege and never place credentials in commands, logs, or the report.


7. Check Op

🎯 Best For

  • Claude users
  • AI users

💡 Use Cases

  • Using production-runtime-certification in daily workflow
  • Automating repetitive engineering tasks

📖 How to Use This Skill

  1. 1

    Install the Skill

    Copy the install command from the Terminal tab and run it. The SKILL.md file downloads to your local skills directory.

  2. 2

    Load into Your AI Assistant

    Open Claude and reference the skill. Paste the SKILL.md content or use the system prompt tab.

  3. 3

    Apply production-runtime-certification to Your Work

    Provide context for your task — paste source material, describe your audience, or share existing work to guide the AI.

  4. 4

    Review and Refine

    Edit the AI output for accuracy, tone, and completeness. Add human insight where the AI lacks context.

❓ Frequently Asked Questions

How do I install production-runtime-certification?

Copy the install command from the Terminal tab and run it. The skill downloads to ./skills/production-runtime-certification/SKILL.md, ready to use.

Can I customize this skill for my team?

Absolutely. Edit the SKILL.md file to add team-specific instructions, examples, or workflows.

⚠️ Common Mistakes to Avoid

Not reading the full skill

Skills contain important context and edge cases beyond the quick start.

🔗 Related Skills