ci-pipeline

ci-pipeline is a skill for Claude Code from viknesh20-20/claude-code-tool-kit. It costs 46 tokens per session (674 once invoked), scanned A, original, MIT.

A generator for continuous integration and delivery configuration, which automatically checks code and can build or deploy it when changes are made. It detects the project's language, package manager, commands, and required services, then creates stages for linting, tests, builds, and deployment.

In plain words
What is it for?
Creating GitHub Actions, GitLab CI, or similar configurations that install dependencies, run code checks and tests, build the project, and deploy it.
Why use it?
Setting up a pipeline by hand requires knowing the project's tools and keeping several checks in sync. This creates a starting configuration based on what the project already contains.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter.

Install

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.

agentmods
npx agentmods add skills/viknesh20-20/claude-code-tool-kit/ci-pipeline
Any agent
npx skills add viknesh20-20/claude-code-tool-kit --skill ci-pipeline
Clone the repo
git clone --depth 1 https://github.com/viknesh20-20/claude-code-tool-kit

Made for: Claude Code.

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 ci-pipeline

README.md
[![agentmods](https://agentmods.dev/badge/skills/viknesh20-20/claude-code-tool-kit/ci-pipeline.svg)](https://agentmods.dev/skills/viknesh20-20/claude-code-tool-kit/ci-pipeline)
Your own site
<a href="https://agentmods.dev/skills/viknesh20-20/claude-code-tool-kit/ci-pipeline"><img src="https://agentmods.dev/badge/skills/viknesh20-20/claude-code-tool-kit/ci-pipeline.svg" alt="Measured on agentmods" height="20"></a>
Per session 46 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 674 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00046 $0.00674
Opus 5 $0.00023 $0.00337
Sonnet 5 $0.00009 $0.00135
Haiku 4.5 $0.00005 $0.00067

Measured 6d ago against content hash f8906e50e079, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

ci-pipeline 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 6d 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.

.claude/skills/ci-pipeline/SKILL.md · 88 lines

How it starts

The opening of the file, as written. The whole thing — 88 lines — stays where its author put it; the contents beside it link to each section on GitHub.

CI Pipeline Generator

Detect Project Stack

!ls package.json requirements.txt pyproject.toml go.mod Cargo.toml *.csproj *.sln Gemfile composer.json mix.exs Makefile Dockerfile 2>/dev/null !ls .github/workflows/ .gitlab-ci.yml Jenkinsfile .circleci/ .travis.yml bitbucket-pipelines.yml 2>/dev/null !cat package.json 2>/dev/null | grep -E '"(scripts|devDependencies)"' -A 10 | head -20


Pipeline Design

Step 1: Detect Requirements

From project files, determine:

  • Language and version (Node 20, Python 3.12, Go 1.22, etc.)
  • Package manager (npm, pnpm, yarn, pip, poetry, cargo, etc.)
  • Test command
  • Lint command
  • Build command
  • Required services (database, Redis, etc.)

Step 2: Generate Pipeline Stages

Stage 1: Install

  • Cache dependencies for fast subsequent runs
  • Use lock file hash as cache key

Stage 2: Lint

  • Run linter (ESLint, ruff, golangci-lint, clippy, etc.)
  • Run type checker if applicable (tsc, mypy, go vet)
  • Run formatter check (prettier, black, gofmt)

Stage 3: Test

  • Run unit tests with coverage
  • Run integration tests (with service containers if needed)
  • Upload coverage report

Stage 4: Build

  • Production build
  • Verify build artifacts are created

Stage 5: Security (optional)

  • Dependency vulnerability scan
  • Secret scanning
  • SAST if available

Stage 6: Deploy (placeholder)

  • Staging deployment (on push to main)
  • Production deployment (on tag/release)
  • Mark as manual/approval required

Step 3: Platform-Specific Output

GitHub Actions:

name: CI
on: [push, pull_request]
jobs:
  ci:
    runs-on: ubuntu-latest
    steps: ...

GitLab CI:

stages: [install, lint, test, build, deploy]

Step 4: Optimizations

  • Dependency caching (npm cache, pip cache, cargo cache)
  • Parallel test execution where possible
  • Matrix builds for multiple versions (if needed)
  • Fail-fast on lint errors (don't waste time on tests)
  • Artifact upload for build output

Rules

  • Always include a lint stage — catch issues early
  • Always include caching — speed up repeat runs
  • Keep the pipeline under 10 minutes for PRs
  • Don't hardcode versions — use variables or matrix
  • Include both push and PR triggers

Read the full file on GitHub · 88 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. 6d ago First seen · 88 lines · 46 tokens per session scan A f8906e50e079

Subscribe to this mod's changes

ci-pipeline is a skill published in the GitHub repository viknesh20-20/claude-code-tool-kit (7 stars, last pushed 4mo ago), licensed MIT. It adds 46 tokens to every session and 674 once invoked, about $0.0002 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.

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