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 girijashankarj/cursor-handbook --skill ci-cdgit clone --depth 1 https://github.com/girijashankarj/cursor-handbookWrote 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/girijashankarj/cursor-handbook/ci-cd)<a href="https://agentmods.dev/skills/girijashankarj/cursor-handbook/ci-cd"><img src="https://agentmods.dev/badge/skills/girijashankarj/cursor-handbook/ci-cd/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/girijashankarj/cursor-handbook/ci-cd"><img src="https://agentmods.dev/badge/skills/girijashankarj/cursor-handbook/ci-cd.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 | $0.00027 | $0.00510 |
| Opus 5.5 | $0.00011 | $0.00204 |
| Sonnet 5.5 | $0.00005 | $0.00102 |
| Haiku 4.5 | $0.00003 | $0.00051 |
Grade A, and why
ci-cd 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 1mo 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.
What it actually says
Skill: Set Up CI/CD Pipeline
Trigger
When the user needs to set up or modify CI/CD pipelines.
Steps
Step 1: Define Pipeline Stages
- Lint and format check
- Type check:
{{CONFIG.testing.typeCheckCommand}} - Unit tests:
{{CONFIG.testing.testCommand}} - Build
- Integration tests
- Security scan
- Deploy
Step 2: Create Pipeline Configuration
- Create workflow file (
.github/workflows/ci.ymlfor GitHub Actions) - Define trigger events (push, PR, schedule)
- Configure job runners and environments
- Set up caching for dependencies
Step 3: Configure Secrets
- List required secrets
- Add to CI/CD secrets store (never in code)
- Document required secrets in README
Step 4: Add Quality Gates
- Tests must pass (0 failures)
- Coverage ≥ {{CONFIG.testing.coverageMinimum}}%
- No type errors
- No critical security vulnerabilities
- Build succeeds
Step 5: Set Up Deployment
- Configure environment promotion (dev → staging → prod)
- Add manual approval for production
- Configure rollback triggers
- Set up smoke tests post-deployment
Step 6: Test Pipeline
- Trigger on a test branch
- Verify all stages complete
- Verify failure handling (intentionally break a stage)
- Verify notifications work
If a step fails
| Step | Failure | Recovery |
|---|---|---|
| Step 4 | Quality gate blocks pipeline | Fix failing tests, coverage, or type errors locally; do not lower thresholds to pass |
| Step 5 | Deploy stage fails | Check secrets and env vars; verify target environment is reachable; rollback if prod deploy partially applied |
| Step 6 | Pipeline fails on test trigger | Fix the broken stage; verify failure handling works (pipeline should fail fast, not deploy on failure) |
Never remove manual approval for production. Never deploy on failure.
Completion
CI/CD pipeline is running, tested, and documented.
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.
- 1mo ago First seen · 64 lines · 27 tokens per session scan A 16edbb4d1c89
ci-cd is a skill published in the GitHub repository girijashankarj/cursor-handbook (33 stars, last pushed 1mo ago), licensed MIT. It adds 27 tokens to every session and 510 once invoked, about $0.0001 per session on Opus 5.5. 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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Use when planning, running, grading, or reporting the by-hand Octocode research benchmark — pairwise matchups (Octocode anchor vs one baseline: gh+RTK, gh+Headroom, or plain gh) over markdown questions, with a fresh isolated runner agent per (question, arm, pass), one blind judge per question grading two answers X/Y…
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Use when writing E2E/integration tests, testing native interactions like permissions or system dialogs, capturing UI regressions, or validating cross-platform behavior (Patrol 4.x).
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Use when writing or reviewing Flutter/Dart tests (unit, widget, golden), fixing flaky tests, adding coverage, or choosing between unit and widget tests.