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.
git clone --depth 1 https://github.com/pjt222/agent-almanacnpx agentmods add skills/pjt222/agent-almanac/build-ci-cd-pipelineWrote 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/pjt222/agent-almanac/build-ci-cd-pipeline)<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.
<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>- NVIDIA SkillSpector warn
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.
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 | $0.03717 |
| Opus 5 | $0.00050 | $0.01858 |
| Sonnet 5 | $0.00020 | $0.00743 |
| Haiku 4.5 | $0.00010 | $0.00372 |
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" \ 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.
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.
- 8d ago First seen · 436 lines · 100 tokens per session scan B a8f18f965c26
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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