Agent skill

Production Runtime Certification

by sickn33 in sickn33/agentic-awesome-skills

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

MITAuto-check passedDevOps & Cloud

Install Production Runtime Certification

skills CLI
$ npx skills add sickn33/agentic-awesome-skills --skill production-runtime-certification -a claude-code

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

GitHub CLI
$ gh skill install sickn33/agentic-awesome-skills production-runtime-certification --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/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/production-runtime-certification .claude/skills/production-runtime-certification && 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
production-runtime-certification
GitHub stars
47k
Used in
1 other repo
Token cost
~2.3k tokens
SKILL.md length
963 words
Files
1
Skills in repo
1,394
Repo updated
First seen
Licence
MIT

At a glance

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

  • Works in 8 steps: Pin the Subject → Verify Source and CI → Verify Deployment Identity → …
  • DevOps & Cloud work in your project
  • SKILL.md covers Overview, When to Use This Skill, Certification Contract and Evidence Model, plus 8 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Production Runtime Certification is an agent skill from sickn33/agentic-awesome-skills. Certify a deployed service with fresh evidence across source, CI, migrations, runtime health, readiness, and critical routes; use before declaring a release production-ready.

Its SKILL.md is about 2.3k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in DevOps & Cloud. The repository describes itself as: AAS Core is the local, agent-first control plane for complete catalog discovery, agent-owned selection, stack validation, and planning, backed by 2,400+ agentic skills. Includes… The licence is MIT.

When your agent uses it

  • DevOps & Cloud work in your project

Example prompts

  • “/production-runtime-certification”

Workflow steps

8 steps, taken from the step headings in SKILL.md.

  1. Pin the Subject
  2. Verify Source and CI
  3. Verify Deployment Identity
  4. Verify Database State
  5. Probe Liveness and Readiness
  6. Exercise Critical Routes
  7. Check Operational Signals
  8. Issue the Verdict

What it can do on your machine

Read from SKILL.md and the folder at commit 1e53ce2. 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

Production Runtime Certification loads about 2.3k tokens when it runs. Until then it costs about 52 tokens; SKILL.md has 963 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~52
When it runs · the whole SKILL.md, loaded when a task matches
~2.3k

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 sickn33/agentic-awesome-skills at commit 1e53ce2, republished under its MIT licence (© sickn33). 963 words, ~2,322 tokens.

Download SKILL.mdSave it as .claude/skills/production-runtime-certification/SKILL.md (or your agent's skills folder).
name
production-runtime-certification
description
Certify a deployed service with fresh evidence across source, CI, migrations, runtime health, readiness, and critical routes; use before declaring a release production-ready.
category
devops
risk
safe
source
self
source_type
self
date_added
2026-09-12
author
mosinlshaikh
tags
production, deployment, verification, reliability, devops
tools
claude, cursor, codex, gemini

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 Operational Signals

Inspect the bounded deployment window for crash loops, unhandled exceptions, dependency failures, elevated error rates, or resource exhaustion. Absence of log access is BLOCKED, not proof of health.

Show full SKILL.md (380 more words)Show less
8. Issue the Verdict

Publish the evidence matrix, unresolved risks, and exact overall verdict. Keep observations separate from inference. Include enough identifiers and timestamps for another engineer to reproduce the decision without exposing sensitive data.

Report Template

text
PRODUCTION RUNTIME CERTIFICATION
Environment: <target>
Source revision: <immutable revision>
Deployment/artifact: <immutable identifier>
Observed at: <UTC timestamp>

SOURCE VALIDATION: PASS | FAIL | BLOCKED | NOT APPLICABLE
CI: PASS | FAIL | BLOCKED | NOT APPLICABLE
DEPLOYMENT IDENTITY: PASS | FAIL | BLOCKED | NOT APPLICABLE
DATABASE MIGRATIONS: PASS | FAIL | BLOCKED | NOT APPLICABLE
LIVENESS: PASS | FAIL | BLOCKED | NOT APPLICABLE
READINESS: PASS | FAIL | BLOCKED | NOT APPLICABLE
CRITICAL ROUTES: PASS | FAIL | BLOCKED | NOT APPLICABLE
OPERATIONAL SIGNALS: PASS | FAIL | BLOCKED | NOT APPLICABLE

OVERALL: GREEN | RED | BLOCKED
Evidence: <commands/checks, run IDs, timestamps, bounded results>
Unresolved risks: <none or explicit list>

Examples

CI Green, Runtime Unavailable
text
SOURCE VALIDATION: PASS — revision 8f31c2a, tests 146/146
CI: PASS — required run 72814 completed at 2026-09-12T10:06:00Z
DEPLOYMENT IDENTITY: PASS — artifact maps to revision 8f31c2a
DATABASE MIGRATIONS: BLOCKED — target database access unavailable
LIVENESS: FAIL — HTTP 503 at 2026-09-12T10:14:22Z
READINESS: FAIL — HTTP 503 at 2026-09-12T10:14:24Z
CRITICAL ROUTES: BLOCKED — smoke checks stopped after readiness failure
OPERATIONAL SIGNALS: BLOCKED — log access unavailable

OVERALL: RED
Unresolved risks: runtime cause and database state remain unverified
Fully Supported Verdict
text
SOURCE VALIDATION: PASS
CI: PASS
DEPLOYMENT IDENTITY: PASS
DATABASE MIGRATIONS: PASS
LIVENESS: PASS
READINESS: PASS
CRITICAL ROUTES: PASS
OPERATIONAL SIGNALS: PASS

OVERALL: GREEN
Unresolved risks: none within the agreed certification scope

Best Practices

  • Use fresh, timestamped evidence for the exact revision and environment.
  • Prefer immutable run, deployment, and artifact identifiers over screenshots or labels.
  • Set bounded timeouts and request counts for runtime probes.
  • Report partial success precisely; preserve FAIL and BLOCKED gates in summaries.
  • Keep the certification read-only unless a separate change request authorizes remediation.
  • Re-run affected gates after any code, configuration, migration, or infrastructure change.

Common Pitfalls

  • Problem: CI is green, so the release is declared healthy. Solution: Verify deployment identity, migrations, readiness, routes, and operational signals independently.

  • Problem: A liveness response is treated as readiness. Solution: Test dependency-aware readiness criteria or record readiness as BLOCKED when none exist.

  • Problem: Smoke tests accidentally create or alter customer data. Solution: Use non-destructive probes or designated synthetic records with an explicit cleanup policy.

  • Problem: Missing access is reported as success because no error was observed. Solution: Mark the affected gate BLOCKED and keep the overall verdict BLOCKED unless another required gate fails.

  • Problem: Credentials or internal configuration are copied into evidence. Solution: Record identifiers and bounded outcomes; redact secrets, personal data, and sensitive topology.

Limitations

  • Certification is a point-in-time result for one revision and environment.
  • Passing smoke checks do not establish performance capacity, security, resilience, or business correctness beyond the agreed scope.
  • Provider dashboards and health endpoints can be incomplete; state evidence gaps explicitly.
  • A GREEN verdict expires when the deployed artifact, configuration, schema, dependencies, or target environment changes.

Security & Safety Notes

  • Obtain authorization for the exact target and probes before accessing a live environment.
  • Use least-privilege, designated test identities and read-only checks wherever possible.
  • Never print, store, or transmit secrets, session material, personal data, or full sensitive responses in certification evidence.
  • Stop when a check would require destructive data changes, privilege escalation, or a scope expansion that was not authorized.
  • @verification-before-completion — verifies that any completion claim has fresh supporting evidence; use this skill for the production-specific gate model and verdict.
  • @deployment-procedures — use for executing a deployment; return here afterward to certify the deployed runtime.

© sickn33, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/production-runtime-certification of sickn33/agentic-awesome-skills.

Open the folder on GitHubat commit 1e53ce2

Used in 1 other repository

We found 5 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in sickn33/agentic-awesome-skills, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Production Runtime Certification 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.

Production Runtime Certification compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Production Runtime Certification this skillsickn33/agentic-awesome-skills47k1 repos~2.3kAutomated safety check: PassMIT
Monitor CInrwl/nx29k5 repos~4.7kAutomated safety check: PassMIT
Terraform and OpenTofu Guideagentscope-ai/QwenPaw35k6 repos~4.2kAutomated safety check: PassApache-2.0
Vercel Optimize Auditvercel-labs/agent-skills32k8 repos~4.3kAutomated safety check: PassNone
Analyze GitHub Action Logswithastro/astro63k1 repos~1.3kAutomated safety check: PassCustom licence
Docs Learn PR Previewnetdata/netdata81k—~2kAutomated safety check: PassGPL-3.0

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Categories

Questions about Production Runtime Certification

What does Production Runtime Certification do?

Certify a deployed service with fresh evidence across source, CI, migrations, runtime health, readiness, and critical routes; use before declaring a release production-ready. Production Runtime Certification is an agent skill from sickn33/agentic-awesome-skills. Certify a deployed service with fresh evidence across source, CI, migrations, runtime health, readiness, and critical routes; use before declaring a release production-ready.

When should I use Production Runtime Certification?

Production Runtime Certification fits situations like: devOps & Cloud work in your project.

How do I install Production Runtime Certification in Claude Code?

Run `npx skills add sickn33/agentic-awesome-skills --skill production-runtime-certification -a claude-code`. Or copy the skill folder (skills/production-runtime-certification in sickn33/agentic-awesome-skills) into .claude/skills/production-runtime-certification in your project. Claude Code loads it when a task matches its description.

How do I install Production Runtime Certification in Codex?

Run `npx skills add sickn33/agentic-awesome-skills --skill production-runtime-certification -a codex`. Or copy the skill folder (skills/production-runtime-certification in sickn33/agentic-awesome-skills) into .agents/skills/production-runtime-certification in your project. Codex loads it when a task matches its description.

Can I use Production Runtime Certification 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 sickn33/agentic-awesome-skills --skill production-runtime-certification -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/production-runtime-certification, .gemini/skills/production-runtime-certification, .github/skills/production-runtime-certification and .opencode/skills/production-runtime-certification in your project.

What does Production Runtime Certification need to run?

SKILL.md names no scripts, command-line tools or credentials: Production Runtime Certification is instructions for the agent only.

Does Production Runtime Certification 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 Production Runtime Certification 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 Production Runtime Certification use?

Production Runtime Certification 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 Production Runtime Certification use?

About 2.3k tokens (SKILL.md is roughly 9.3k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Production Runtime Certification?

Skills that share tags, products or a category with Production Runtime Certification: Monitor CI (nrwl/nx, 29k stars), Terraform and OpenTofu Guide (agentscope-ai/QwenPaw, 35k stars), Vercel Optimize Audit (vercel-labs/agent-skills, 32k stars) and Analyze GitHub Action Logs (withastro/astro, 63k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Production Runtime Certification?

sickn33 (a GitHub user) maintains it in sickn33/agentic-awesome-skills, which has 47,304 GitHub stars. The repository holds 1,394 skills in this directory. The repository was last updated on October 6, 2026.

Source: sickn33/agentic-awesome-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.