Monitor CI
nrwl/nx
Monitor Nx Cloud CI pipeline and handle self-healing fixes. An agent skill from nrwl/nx.
Certify a deployed service with fresh evidence across source, CI, migrations, runtime health, readiness, and critical routes; use before declaring a release production-ready.
$ npx skills add sickn33/agentic-awesome-skills --skill production-runtime-certification -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install sickn33/agentic-awesome-skills production-runtime-certification --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ 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-srcUse ~/.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/
Install the "production-runtime-certification" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/production-runtime-certification into .claude/skills/production-runtime-certification/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "production-runtime-certification", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/production-runtime-certificationType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add sickn33/agentic-awesome-skills --skill production-runtime-certification -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install sickn33/agentic-awesome-skills production-runtime-certification --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/production-runtime-certification .agents/skills/production-runtime-certification && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "production-runtime-certification" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/production-runtime-certification into .agents/skills/production-runtime-certification/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "production-runtime-certification", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add sickn33/agentic-awesome-skills --skill production-runtime-certification -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install sickn33/agentic-awesome-skills production-runtime-certification --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/production-runtime-certification .cursor/skills/production-runtime-certification && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "production-runtime-certification" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/production-runtime-certification into .cursor/skills/production-runtime-certification/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "production-runtime-certification", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/sickn33/agentic-awesome-skills.git --path skills/production-runtime-certification--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add sickn33/agentic-awesome-skills --skill production-runtime-certification -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install sickn33/agentic-awesome-skills production-runtime-certification --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/production-runtime-certification .gemini/skills/production-runtime-certification && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "production-runtime-certification" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/production-runtime-certification into .gemini/skills/production-runtime-certification/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "production-runtime-certification", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install sickn33/agentic-awesome-skills production-runtime-certificationInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add sickn33/agentic-awesome-skills --skill production-runtime-certification -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/production-runtime-certification .github/skills/production-runtime-certification && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "production-runtime-certification" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/production-runtime-certification into .github/skills/production-runtime-certification/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "production-runtime-certification", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add sickn33/agentic-awesome-skills --skill production-runtime-certification -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install sickn33/agentic-awesome-skills production-runtime-certification --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/production-runtime-certification .opencode/skills/production-runtime-certification && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "production-runtime-certification" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/production-runtime-certification into .opencode/skills/production-runtime-certification/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "production-runtime-certification", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
production-runtime-certificationCertify 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.
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.
8 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 1e53ce2. It shows what the files ask for, not the result of running them.
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.
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.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
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.
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.
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.
The full file from sickn33/agentic-awesome-skills at commit 1e53ce2, republished under its MIT licence (© sickn33). 963 words, ~2,322 tokens.
.claude/skills/production-runtime-certification/SKILL.md (or your agent's skills folder).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.
Do not use this skill as a substitute for feature acceptance, security review, load testing, disaster-recovery exercises, or regulatory approval.
Agree on these inputs before testing:
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.
Record every gate as one of:
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.
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.
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.
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.
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.
Test liveness and readiness separately when both exist:
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.
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.
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.
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.
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>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 unverifiedSOURCE 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 scopeProblem: 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.
@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
Just SKILL.md in skills/production-runtime-certification of sickn33/agentic-awesome-skills.
Open the folder on GitHubat commit 1e53ce2
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.
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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Production Runtime Certification this skillsickn33/agentic-awesome-skills | 47k | 1 repos | ~2.3k | Automated safety check: Pass | MIT | |
| Monitor CInrwl/nx | 29k | 5 repos | ~4.7k | Automated safety check: Pass | MIT | |
| Terraform and OpenTofu Guideagentscope-ai/QwenPaw | 35k | 6 repos | ~4.2k | Automated safety check: Pass | Apache-2.0 | |
| Vercel Optimize Auditvercel-labs/agent-skills | 32k | 8 repos | ~4.3k | Automated safety check: Pass | None | |
| Analyze GitHub Action Logswithastro/astro | 63k | 1 repos | ~1.3k | Automated safety check: Pass | Custom licence | |
| Docs Learn PR Previewnetdata/netdata | 81k | — | ~2k | Automated safety check: Pass | GPL-3.0 |
nrwl/nx
Monitor Nx Cloud CI pipeline and handle self-healing fixes. An agent skill from nrwl/nx.
agentscope-ai/QwenPaw
Guidance for writing and testing Terraform and OpenTofu code: module structure, naming, test approaches, CI/CD workflows, state handling and security scanning.
vercel-labs/agent-skills
Runs a metrics-first audit of a deployed Vercel project, gating investigations on real signals to produce ranked, citation-backed cost and performance recommendations.
withastro/astro
Analyze recent GitHub Actions workflow runs to identify patterns, mistakes, and improvements.
netdata/netdata
Use only when the user explicitly asks to build, run, preview, inspect, or validate learn.netdata.cloud locally using the contents of a PR or documentation branch before merge.
netdata/netdata
Inspect Netdata-org source checkouts under NETDATAREPOSDIR, or set up and synchronize that mirror when requested.
sickn33/agentic-awesome-skills
Implements an interface in one of two named color modes, iridescent white or colorful black, from a parameterized starter that reports measured color intensity.
sickn33/agentic-awesome-skills
Saves a user's project decisions, rules and preferences into a project-local mdbase so later sessions and other agents can recover the intent.
sickn33/agentic-awesome-skills
Keeps project decisions, research and verified results available across coding-agent sessions through LWC memory, a document Wiki graph and a CodeGraph code index.
sickn33/agentic-awesome-skills
Guides an agent through assessing its own owner for cofounder fit, publishing an approved profile, and ranking complementary profiles other agents published for their owners.
sickn33/agentic-awesome-skills
Integracao com WhatsApp Business Cloud API (Meta). An agent skill from sickn33/agentic-awesome-skills.
sickn33/agentic-awesome-skills
Acts as a proxy for the Cline CLI, dispatching coding tasks one at a time, monitoring runs by hard evidence, relaying decisions to you and learning per-project preferences.
Categories
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.
Production Runtime Certification fits situations like: devOps & Cloud work in your project.
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.
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.
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.
SKILL.md names no scripts, command-line tools or credentials: Production Runtime Certification is instructions for the agent only.
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.
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.
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.
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.
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.
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.