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 j4flmao/agent-skills --skill data-pipeline-cicdgit clone --depth 1 https://github.com/j4flmao/agent-skillsWrote 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/j4flmao/agent-skills/data-pipeline-cicd)<a href="https://agentmods.dev/skills/j4flmao/agent-skills/data-pipeline-cicd"><img src="https://agentmods.dev/badge/skills/j4flmao/agent-skills/data-pipeline-cicd/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/j4flmao/agent-skills/data-pipeline-cicd"><img src="https://agentmods.dev/badge/skills/j4flmao/agent-skills/data-pipeline-cicd.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00136 | $0.03635 |
| Opus 5 | $0.00068 | $0.01818 |
| Sonnet 5 | $0.00027 | $0.00727 |
| Haiku 4.5 | $0.00014 | $0.00364 |
Grade A, and why
data-pipeline-cicd 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 7d 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 — 501 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Data Pipeline CI/CD
Purpose
Establish continuous integration and delivery for data pipelines covering SQL code quality, dbt model testing, schema change management, and environment promotion from dev to production.
Agent Protocol
Trigger
Exact user phrases: "data pipeline CI/CD", "dbt CI/CD", "SQLFluff", "SQL linting", "Atlantis SQL", "data pipeline testing", "environment promotion", "schema change management", "dbt test", "data CI", "database CI/CD", "data quality CI", "SQL review", "data deployment".
Input Context
Before activating, verify:
- Data transformation framework (dbt, SQLMesh, Dataform, custom SQL)
- Data warehouse (Snowflake, BigQuery, Redshift, Databricks, Postgres)
- CI platform (GitHub Actions, GitLab CI, CircleCI, Jenkins)
- Environments (dev, staging, prod) and promotion strategy
- Testing framework (dbt test, Great Expectations, data-diff, Soda)
- Schema migration tool (Alembic, Flyway, dbt migrations)
Output Artifact
CI/CD pipeline configuration with SQL linting rules, dbt test setup, environment promotion workflow, and schema change management as YAML, SQL, and configuration.
Response Format
# CI/CD pipeline configuration
# SQLFluff config
-- dbt test example
-- dbt Cloud job config
No preamble. No postamble. No explanations. No filler/hedging/transitions. Compress output.
Completion Criteria
- CI pipeline with SQLFluff linting configured
- dbt test suite with singular and generic tests
- Environment promotion workflow (dev -> staging -> prod) defined
- Schema change management with migration scripts
- Data diff or comparison testing in staging
- Rollback strategy documented
Max Response Length
4096
Workflow
CI Pipeline for dbt Projects
# .github/workflows/dbt-ci.yml
name: dbt CI
on:
pull_request:
branches: [main]
paths: ['transform/**', 'profiles.yml']
jobs:
lint:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- uses: actions/setup-python@v5
with:
python-version: '3.11'
- run: pip install sqlfluff==3.0.0 sqlfluff-templater-dbt
- run: sqlfluff lint transform/models/ --dialect snowflake --templater dbt
test:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- uses: actions/setup-python@v5
with:
python-version: '3.11'
- run: pip install dbt-snowflake dbt-core==1.7.0
- run: dbt deps --project-dir transform
- run: dbt build --project-dir transform --target ci
- run: dbt docs generate --project-dir transform
What ships with it
8 files 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.
- references/cicd-for-data-pipelines.md 1.2 KB
- references/data-diff-testing.md 10 KB
- references/data-quality-ci.md 12 KB
- references/dbt-ci-cd-pipeline.md 7.9 KB
- references/pipeline-cicd-environments.md 4.1 KB
- references/pipeline-cicd-secrets.md 3.3 KB
- references/pipeline-test-automation.md 1.2 KB
- references/sql-linting-and-testing.md 10 KB
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.
- 7d ago First seen · 501 lines · 136 tokens per session scan A 50ea5d06c54b
data-pipeline-cicd is a skill published in the GitHub repository j4flmao/agent-skills (22 stars, last pushed 4d ago), licensed MIT. It adds 136 tokens to every session and 3,635 once invoked, about $0.0007 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 2026-09-03.
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