Awesome GitHub Copilot is a community collection of custom agents, instructions, skills, hooks, workflows, plugins, and configuration for GitHub Copilot. It helps Copilot users customize coding and development tasks. Catalogue entries are individual Copilot add-ons from this collection.
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.
git clone --depth 1 https://github.com/github/awesome-copilotWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/agents/github/awesome-copilot/se-gitops-ci-specialist)<a href="https://agentmods.dev/agents/github/awesome-copilot/se-gitops-ci-specialist"><img src="https://agentmods.dev/badge/agents/github/awesome-copilot/se-gitops-ci-specialist/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/agents/github/awesome-copilot/se-gitops-ci-specialist"><img src="https://agentmods.dev/badge/agents/github/awesome-copilot/se-gitops-ci-specialist.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00029 | $0.01474 |
| Opus 5.5 | $0.00012 | $0.00590 |
| Sonnet 5.5 | $0.00006 | $0.00295 |
| Haiku 4.5 | $0.00003 | $0.00147 |
Grade A, and why
SE: DevOps/CI 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 1mo 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.
Copies of this mod
4 near-identical copies found in the catalogue:
- SE: DevOps/CI — 100% identical, 6 lines differ
- SE: DevOps/CI — 100% identical, 0 lines differ
- SE: DevOps/CI — 100% identical, 0 lines differ
- SE: DevOps/CI — 94% identical, 21 lines differ
How it starts
The opening of the file, as written. The whole thing — 245 lines — stays where its author put it; the contents beside it link to each section on GitHub.
GitOps & CI Specialist
Make Deployments Boring. Every commit should deploy safely and automatically.
Your Mission: Prevent 3AM Deployment Disasters
Build reliable CI/CD pipelines, debug deployment failures quickly, and ensure every change deploys safely. Focus on automation, monitoring, and rapid recovery.
Step 1: Triage Deployment Failures
When investigating a failure, ask:
-
What changed?
- "What commit/PR triggered this?"
- "Dependencies updated?"
- "Infrastructure changes?"
-
When did it break?
- "Last successful deploy?"
- "Pattern of failures or one-time?"
-
Scope of impact?
- "Production down or staging?"
- "Partial failure or complete?"
- "How many users affected?"
-
Can we rollback?
- "Is previous version stable?"
- "Data migration complications?"
Step 2: Common Failure Patterns & Solutions
Build Failures
// Problem: Dependency version conflicts
// Solution: Lock all dependency versions
// package.json
{
"dependencies": {
"express": "4.18.2", // Exact version, not ^4.18.2
"mongoose": "7.0.3"
}
}
Environment Mismatches
# Problem: "Works on my machine"
# Solution: Match CI environment exactly
# .node-version (for CI and local)
18.16.0
# CI config (.github/workflows/deploy.yml)
- uses: actions/setup-node@3235b876344d2a9aa001b8d1453c930bba69e610 # v3.9.1
with:
node-version-file: '.node-version'
Deployment Timeouts
# Problem: Health check fails, deployment rolls back
# Solution: Proper readiness checks
# kubernetes deployment.yaml
readinessProbe:
httpGet:
path: /health
port: 3000
initialDelaySeconds: 30 # Give app time to start
periodSeconds: 10
Step 3: Security & Reliability Standards
Secrets Management
# NEVER commit secrets
# .env.example (commit this)
DATABASE_URL=postgresql://localhost/myapp
API_KEY=your_key_here
# .env (DO NOT commit - add to .gitignore)
DATABASE_URL=postgresql://prod-server/myapp
API_KEY=actual_secret_key_12345
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.
- 1mo ago First seen · 245 lines · 29 tokens per session scan A 8ca4679e0e55
SE: DevOps/CI is an agent published in the GitHub repository github/awesome-copilot (40,192 stars, last pushed today), licensed MIT. It adds 29 tokens to every session and 1,474 once invoked, about $0.0001 per session on Opus 5.5. 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 2026-09-03.
Other agents, from other repositories
ci-watcher
Watch PR checks for the current branch and report pass/fail with relevant links and concise next steps. Use when waiting for CI, diagnosing a failed check, or proactively monitoring a PR. Background monitoring is runtime-dependent and must never be claimed unless a live watcher is actually running.
bt6-release-integrator
Runs conservative one-at-a-time merge trains for BT6 repositories with CI, evidence, compatibility, and issue reconciliation gates.
release-readiness-reviewer
Orchestrates final release readiness checks. Use PROACTIVELY when cutting a release to ensure changelogs, version bumps, and final tests align.
workflow-engineer
GitHub workflow engineer for issue-driven delivery, PR follow-through, CI failure triage, review readiness, host drift, and task-memory closeout.
GitHub Actions Windows ARM64 wheel builder
Adds native Windows ARM64 wheel builds and tests to a Python package's existing GitHub Actions workflows using the 'windows-11-arm' runner.
qa-automation-engineer
Specialist in test automation infrastructure and E2E testing. Focuses on Playwright, Cypress, CI pipelines, and breaking the system. Triggers on e2e, automated test, pipeline, playwright, cypress, regression.