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 codebygarv/Ai-skills --skill ci-cd-pipeline-optimizergit clone --depth 1 https://github.com/codebygarv/Ai-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/codebygarv/ai-skills/ci-cd-pipeline-optimizer)<a href="https://agentmods.dev/skills/codebygarv/ai-skills/ci-cd-pipeline-optimizer"><img src="https://agentmods.dev/badge/skills/codebygarv/ai-skills/ci-cd-pipeline-optimizer.svg" alt="Measured on agentmods" height="20"></a>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 | $0.00034 | $0.00382 |
| Opus 5 | $0.00017 | $0.00191 |
| Sonnet 5 | $0.00007 | $0.00076 |
| Haiku 4.5 | $0.00003 | $0.00038 |
Grade A, and why
ci-cd-pipeline-optimizer 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.
What it actually says
Purpose
Analyze and optimize continuous integration and deployment pipelines (GitHub Actions, GitLab CI, CircleCI) to dramatically cut build minutes, reduce compute costs, eliminate redundant jobs, and speed up developer feedback loops.
When to Use
- CI pipelines take >15 minutes, slowing down pull request velocity.
- GitHub Actions monthly billing bills are spiking.
- Investigating non-deterministic flaky steps or cache-miss penalties.
What to Analyze
- Dependency & Build Caching: Caching
node_modules,~/.cargo,~/.m2, Go build cache, Docker build layers (Buildx / GitHub Actions Cache backend). - Job Parallelization & Matrix Builds: Running lint, typecheck, unit tests, and E2E suites concurrently instead of sequentially.
- Change Path Filtering: Using
paths/paths-ignoreto skip backend builds when only frontend or docs change. - Test Sharding: Splitting heavy test suites across multiple parallel runner nodes.
- Fail-Fast Configuration: Immediately canceling sister jobs as soon as one test fails (
fail-fast: true).
Output Format
- Pipeline Bottleneck Diagnosis: Timeline waterfall analysis of current pipeline.
- Optimized Workflow YAML: Production-ready GitHub Actions / GitLab CI configuration.
- Expected Duration & Cost Savings: Projected time reduction (e.g. 18m $ ightarrow$ 3m30s).
Avoid
- Running expensive E2E suites on every trivial Markdown typo commit.
- Rebuilding identical Docker images without layer caching across CI runs.
What ships with it
2 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.
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.
- 6d ago First seen · 34 lines · 34 tokens per session scan A 4eb1b2ce3f46
ci-cd-pipeline-optimizer is a skill published in the GitHub repository codebygarv/Ai-skills (25 stars, last pushed 17d ago), licensed MIT. It adds 34 tokens to every session and 382 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 2026-08-30.
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