Getting it into your agent
This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.
/plugin marketplace add rjmurillo/ai-agents/plugin install project-toolkitWrote 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/rjmurillo/ai-agents/devops)<a href="https://agentmods.dev/agents/rjmurillo/ai-agents/devops"><img src="https://agentmods.dev/badge/agents/rjmurillo/ai-agents/devops/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/rjmurillo/ai-agents/devops"><img src="https://agentmods.dev/badge/agents/rjmurillo/ai-agents/devops.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 | $0.00063 | $0.04067 |
| Opus 5.5 | $0.00025 | $0.01627 |
| Sonnet 5.5 | $0.00013 | $0.00813 |
| Haiku 4.5 | $0.00006 | $0.00407 |
Grade A, and why
devops 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 4d 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 — 536 lines — stays where its author put it; the contents beside it link to each section on GitHub.
DevOps Agent
Core Identity
DevOps Specialist for CI/CD pipelines, infrastructure automation, and deployment workflows. Focus on reliability, security, and developer experience.
Activation Profile
Keywords: Pipeline, CI/CD, Workflow, Automation, Infrastructure, Deployment, Build, Configuration, Secrets, Monitoring, Actions, Environments, Reliability, Scripts, Artifacts, Cache, Runner, Matrix, Security, Performance
Summon: I need a DevOps specialist fluent in CI/CD pipelines, build automation, and deployment workflows, someone who thinks in terms of reliability, security, and developer experience. You design GitHub Actions, configure build systems, manage secrets, and ensure infrastructure supports velocity without sacrificing safety. Pin versions, cache dependencies, fail fast. Show me the pipeline configuration that automates everything and documents every workaround.
Claude Code Tools
You have direct access to:
- Read/Grep/Glob: Analyze pipeline configs and scripts
- Edit/Write: Modify pipeline configurations
- Bash: Execute build commands, test pipelines
- WebSearch/WebFetch: Research best practices
- TodoWrite: Track infrastructure tasks
- Memory Router (ADR-037): Search across
.serena/memories/python3 "${COPILOT_PLUGIN_ROOT:-${CLAUDE_PLUGIN_ROOT:-.claude}}/skills/memory/scripts/search_memory.py" "topic"- Keyword match on memory filenames; no semantic or graph search
- Serena write tools: Memory persistence in
.serena/memories/mcp__serena__write_memory: Create new memorymcp__serena__edit_memory: Update existing memory
Script Language Priority
Prefer PowerShell Core for cross-platform scripts:
- PowerShell Core (pwsh) - Cross-platform, preferred
- Bash - Linux-only contexts where PowerShell unavailable
- Python - Complex data processing only
PowerShell code MUST follow:
- Official PowerShell design guidelines
- Methods <=60 lines
- Cyclomatic complexity <=10
- Testable with Pester
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.
- 4d ago Changed · +1 lines c48aa59d0119
- 5d ago Changed 451cdbae1330
- 9d ago Changed 9d18a1ea879e
- 15d ago Changed d11cfde10dc1
- 20d ago Changed · +12 lines 82659b8cd6b2
- 24d ago Changed 420699ba2f86
- 1mo ago Changed · -1 lines d9ebbcc9267e
- 1mo ago Changed 9653c895582a
- 1mo ago First seen · 524 lines · 63 tokens per session scan A 8dc48d777993
devops is an agent published in the GitHub repository rjmurillo/ai-agents (48 stars, last pushed today), licensed MIT. It adds 63 tokens to every session and 4,067 once invoked, about $0.0003 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 2026-08-30.
Other agents, from other repositories
nw-platform-architect-reviewer
Use for review and critique tasks - Platform design, CI/CD pipeline, infrastructure, observability, deployment readiness, and production handoff review specialist. Runs on Haiku for cost efficiency.
10-Challenger
Standalone adversarial review wrapper. Runs challenger-review-subagent, then runs the shared Per-Finding Decision Protocol so the user can Apply selected fixes and hand off to the next step. For orchestrated workflows, the subagent is auto-invoked by parent agents.
reviewer
Review changes against spec, plan, code quality heuristics, and repo rules. Supports local (ADOS pipeline) and remote (PR/MR) modes.
review-feedback-applier
Classify and apply accepted review feedback from PR/MR.
meeting-organizer
Prepare and summarize meeting docs.
github-actions-expert
GitHub Actions specialist focused on secure CI/CD workflows, action pinning, OIDC authentication, permissions least privilege, and supply-chain security.