build-ci-cd-pipeline

build-ci-cd-pipeline is a skill for Claude Code from pjt222/agent-almanac. It costs 100 tokens per session (3,717 once invoked), scanned B, original, MIT.

A GitHub Actions workflow that automatically checks, builds, and deploys code through several stages. It can run tests across multiple platforms or language versions.

In plain words
What is it for?
Use it to create or move a CI/CD pipeline to GitHub Actions, with linting, tests, builds, deployments, caching, artifacts, and security checks.
Why use it?
It removes the need to run these checks and deployments manually, while keeping the steps and required secrets in the repository.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter.

Needs its repository: it runs a file that does not travel with it, so clone the repository first. The line is files: ./coverage/lcov.info.

Part of the agent-almanac plugin — 122 skills, 76 agents shipped together

Good fit Use it to create or move a CI/CD pipeline to GitHub Actions, with linting, tests, builds, deployments, caching, artifacts, and security checks.

Compare 6 skills from other repositories ↓
Install

Getting it into your agent

It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.

Clone the repo
git clone --depth 1 https://github.com/pjt222/agent-almanac
agentmods
npx agentmods add skills/pjt222/agent-almanac/build-ci-cd-pipeline

Made for: Claude Code.

Or install agent-almanac, the plugin that ships this one along with the rest of its 122 skills, 76 agents.

Wrote 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.

agentmods badge for build-ci-cd-pipeline

README.md
[![agentmods](https://agentmods.dev/badge/skills/pjt222/agent-almanac/build-ci-cd-pipeline/github.svg)](https://agentmods.dev/skills/pjt222/agent-almanac/build-ci-cd-pipeline)
Your own site
<a href="https://agentmods.dev/skills/pjt222/agent-almanac/build-ci-cd-pipeline"><img src="https://agentmods.dev/badge/skills/pjt222/agent-almanac/build-ci-cd-pipeline/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.

agentmods 80×15 button for build-ci-cd-pipeline

Your own site · 80×15
<a href="https://agentmods.dev/skills/pjt222/agent-almanac/build-ci-cd-pipeline"><img src="https://agentmods.dev/badge/skills/pjt222/agent-almanac/build-ci-cd-pipeline.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 100 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,717 The whole file, excluding the scripts and references it only reads on demand.
Security scan B 2 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 5 findings, up to medium

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • medium Data Exfiltration · line 270
    Data is uploaded to cloud storage (S3 / GCS / Azure Blob). This may be a legitimate backup or exfiltration to an external bucket. Manual review is recommended.
    Fix: Verify the destination bucket is trusted and owned by you. Never upload credentials, secrets, or workspace contents to external or unverified cloud storage.
  • medium Data Exfiltration · line 297
    Data is uploaded to cloud storage (S3 / GCS / Azure Blob). This may be a legitimate backup or exfiltration to an external bucket. Manual review is recommended.
    Fix: Verify the destination bucket is trusted and owned by you. Never upload credentials, secrets, or workspace contents to external or unverified cloud storage.
  • medium Data Exfiltration · line 300
    Data is uploaded to cloud storage (S3 / GCS / Azure Blob). This may be a legitimate backup or exfiltration to an external bucket. Manual review is recommended.
    Fix: Verify the destination bucket is trusted and owned by you. Never upload credentials, secrets, or workspace contents to external or unverified cloud storage.
  • medium Data Exfiltration · line 381
    Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.
    Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
  • medium Data Exfiltration · line 381
    Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.
    Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00100 $0.03717
Opus 5 $0.00050 $0.01858
Sonnet 5 $0.00020 $0.00743
Haiku 4.5 $0.00010 $0.00372

Measured 8d ago against content hash a8f18f965c26, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade B, and why

build-ci-cd-pipeline scanned grade B with 2 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 8d 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.

Sends data to an external URLmediumData exfiltration

A POST to an outside endpoint may be telemetry or may be exfiltration; either way the mod talks to somewhere, and you should know where.

**If fail:** For Slack failures, verify webhook URL is valid and workspace allows incoming webhooks. Test with `curl -X POST $SLACK_WEBHOOK_URL -d '{"text":"test"}'`. For Datadog failures, verify API key has event submis

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

curl -X POST "https://api.datadoghq.com/api/v1/events" \
i18n/caveman-lite/skills/build-ci-cd-pipeline/SKILL.md · 436 lines

How it starts

The opening of the file, as written. The whole thing — 436 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Build CI/CD Pipeline

Design and implement production-grade continuous integration and deployment pipelines with GitHub Actions.

When to Use

  • Setting up automated testing and deployment for a new project
  • Migrating from Jenkins, Travis CI, or CircleCI to GitHub Actions
  • Implementing matrix builds across multiple platforms or language versions
  • Adding build caching to speed up CI/CD execution time
  • Creating multi-stage pipelines with environment-specific deployments
  • Implementing security scanning and code quality gates

Inputs

  • Required: Repository with code to test/build/deploy
  • Required: GitHub Actions workflow directory (.github/workflows/)
  • Optional: Secrets for deployment targets (AWS, Azure, Docker registries)
  • Optional: Self-hosted runner configuration for specialized builds
  • Optional: Branch protection rules and required status checks

Procedure

Step 1: Create Base Workflow Structure

Create .github/workflows/ci.yml with trigger configuration and basic job structure.

name: CI Pipeline

on:
  push:
    branches: [main, develop]
  pull_request:
    branches: [main, develop]
  workflow_dispatch:  # Manual trigger

env:
  NODE_VERSION: '18'
  REGISTRY: ghcr.io
  IMAGE_NAME: ${{ github.repository }}

jobs:
  lint:
    name: Lint Code
    runs-on: ubuntu-latest
    steps:
      - name: Checkout code
        uses: actions/checkout@v4

      - name: Setup Node.js
        uses: actions/setup-node@v4
        with:
          node-version: ${{ env.NODE_VERSION }}
          cache: 'npm'

      - name: Install dependencies
        run: npm ci

      - name: Run ESLint
        run: npm run lint

      - name: Check formatting
        run: npm run format:check

Got: Workflow file created with proper YAML syntax, triggers configured, and basic lint job defined.

If fail: Validate YAML syntax with yamllint .github/workflows/ci.yml. Check indentation (use spaces, not tabs). Verify action versions are current by checking GitHub Marketplace.

Read the full file on GitHub · 436 lines

Changes

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.

  1. 8d ago First seen · 436 lines · 100 tokens per session scan B a8f18f965c26

Subscribe to this mod's changes

build-ci-cd-pipeline is a skill published in the GitHub repository pjt222/agent-almanac (32 stars, last pushed yesterday), licensed MIT. It adds 100 tokens to every session and 3,717 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it B with 2 findings (sends data to an external url, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.

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