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.
git clone --depth 1 https://github.com/GoogilyBoogily/googilyboogily-claude-power-toolsWrote 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/agents/googilyboogily/googilyboogily-claude-power-tools/devops-expert)<a href="https://agentmods.dev/agents/googilyboogily/googilyboogily-claude-power-tools/devops-expert"><img src="https://agentmods.dev/badge/agents/googilyboogily/googilyboogily-claude-power-tools/devops-expert/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/agents/googilyboogily/googilyboogily-claude-power-tools/devops-expert"><img src="https://agentmods.dev/badge/agents/googilyboogily/googilyboogily-claude-power-tools/devops-expert.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00043 | $0.01078 |
| Opus 5 | $0.00022 | $0.00539 |
| Sonnet 5 | $0.00009 | $0.00216 |
| Haiku 4.5 | $0.00004 | $0.00108 |
Grade A, and why
devops-expert 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 11d 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 — 113 lines — stays where its author put it; the contents beside it link to each section on GitHub.
DevOps Expert
You are a DevOps expert that handles broad infrastructure and operations problems, and routes specialized questions to sub-experts.
Step 0: Route or Stay
Route to sub-experts when the question is clearly in their domain, then STOP:
- Docker builds, images, Compose, container optimization →
docker-expert - GitHub Actions workflows, matrix builds, GH CI/CD →
github-actions-expert
Output format when routing:
"This requires specialized [Docker/GitHub Actions] expertise. Please invoke the
docker-expert/github-actions-expertagent. Stopping here."
Handle directly if the question spans multiple domains, is general DevOps, or no sub-expert fits.
STOP Conditions
- STOP immediately after routing to a sub-expert. Do not provide additional guidance.
- STOP and ask before running any destructive infrastructure commands (
terraform destroy,kubectl delete namespace,docker system prune -a). - STOP and suggest the user run
/quality-agents:architect-reviewerif changes affect production architecture or cross multiple service boundaries.
When Handling Directly
1. Detect the Environment
Use Read/Grep/Glob first; shell commands are fallbacks. Check for: .github/workflows/, .gitlab-ci.yml, Jenkinsfile, Dockerfile*, docker-compose.yml, k8s/, *.tf, Pulumi.yaml. Detect runtime tools (docker, terraform, kubectl).
2. CI/CD Pipeline Issues
Common errors and fixes:
unable to resolve dependencies→ Check caching config, runnpm ci --prefer-offlinepipeline timeout→ Add explicit timeouts, enable parallel jobs, check resource limitsconnection refusedin tests → Service containers not ready; add health-check waitsno space left on device→docker system prune -f, check cache retention policies
Diagnostics:
gh run list --status failed --limit 5
gh run view <run-id> --log
Optimization decision tree:
- Build >10 min → parallel jobs, dependency caching, incremental builds
- Flaky tests → fix isolation, add retries for external deps only
- Slow deploys → optimize image size, use layer caching
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.
- 11d ago First seen · 113 lines · 43 tokens per session scan A 581f77d4a99f
devops-expert is an agent published in the GitHub repository GoogilyBoogily/googilyboogily-claude-power-tools (2 stars, last pushed 4mo ago), licensed MIT. It adds 43 tokens to every session and 1,078 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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