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.
npx skills add shennawardana23/skillme --skill ci-cd-and-automationgit clone --depth 1 https://github.com/shennawardana23/skillmeWrote 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/skills/shennawardana23/skillme/ci-cd-and-automation)<a href="https://agentmods.dev/skills/shennawardana23/skillme/ci-cd-and-automation"><img src="https://agentmods.dev/badge/skills/shennawardana23/skillme/ci-cd-and-automation/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/skills/shennawardana23/skillme/ci-cd-and-automation"><img src="https://agentmods.dev/badge/skills/shennawardana23/skillme/ci-cd-and-automation.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 | $0.00100 | $0.02139 |
| Opus 5 | $0.00050 | $0.01069 |
| Sonnet 5 | $0.00020 | $0.00428 |
| Haiku 4.5 | $0.00010 | $0.00214 |
Grade A, and why
ci-cd-and-automation 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 12d 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.
How it starts
The opening of the file, as written. The whole thing — 223 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CI/CD and Automation
CI/CD is the enforcement mechanism for every other engineering discipline in this catalog — it's what makes "tests pass," "lint is clean," and "the migration was reviewed" apply to every change, every time, instead of depending on a human remembering to check.
Shift left: catch problems as early in the pipeline as possible. A lint failure costs a minute; the same defect reaching production costs hours of incident response — order pipeline stages cheapest-and-fastest first so a change fails fast on a trivial problem instead of waiting 20 minutes for a full integration suite to discover it.
No gate can be skipped. If lint fails, fix the lint issue — don't disable the rule to unblock a merge. If a test is flaky, fix the flakiness — don't re-run until it passes.
The quality gate pipeline (Go)
PR opened
→ gofmt / golangci-lint
→ go vet
→ go build ./...
→ go test ./... -race -cover
→ govulncheck ./...
→ (main only) build & push image → deploy staging → smoke test → deploy production
# .github/workflows/ci.yml
name: CI
on:
pull_request:
branches: [main]
push:
branches: [main]
jobs:
lint:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- uses: actions/setup-go@v5
with: { go-version: "1.23", cache: true }
- uses: golangci/golangci-lint-action@v6
test:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- uses: actions/setup-go@v5
with: { go-version: "1.23", cache: true }
- run: go build ./...
- run: go test ./... -race -cover
- run: go run golang.org/x/vuln/cmd/govulncheck@latest ./...
Run lint and test as separate parallel jobs, not sequential steps
in one job — a lint failure and a test failure are independent facts
about the same change; running them in parallel means the PR author
sees both results in the time of the slower one, not the sum of both.
Database-backed integration tests
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 12d ago First seen · 223 lines · 100 tokens per session scan A 759e917c9d1d
ci-cd-and-automation is a skill published in the GitHub repository shennawardana23/skillme (2 stars, last pushed 15d ago), licensed Apache-2.0. It adds 100 tokens to every session and 2,139 once invoked, about $0.0005 per session on Opus 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 2026-08-31.
Other skills, from other repositories
github-actions-author
Authors fast, cheap, maintainable GitHub Actions workflows applying 2026 best practices: caching with hashFiles + restore-keys, parallelization via matrix + artifacts, reusability (composite actions for steps, reusable workflows for jobs), security (SHA-pinned actions, least-privilege GITHUBTOKEN, concurrency)…
ci-auto-fix
Diagnoses a failed CI check, classifies it with an explicit verdict (code-bug | workflow-bug | dep-bug | env-bug | flaky | unsure), confidence-gates the fix (>=90 auto, 80-89 ask, <80 escalate), applies it, pushes, and iteratively verifies until CI passes — reverting the last commit if a brand-new failure appears.…
ci-monitoring
Use after creating PR - monitor CI pipeline, resolve failures, address review feedback, and merge when all gates pass.
writing-skills
Use when creating new skills, editing existing skills, or verifying skills work before deployment.
receiving-code-review
Use when receiving code review feedback, before implementing suggestions, especially if feedback seems unclear or technically questionable - requires technical rigor and verification, not performative agreement or blind implementation.
writing-plans
Use when you have a spec or requirements for a multi-step task, before touching code.