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 agentmods add agents/luismiglezmohino/ai-dev-agents/devopsgit clone --depth 1 https://github.com/luismiglezmohino/ai-dev-agentsWhat 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 | $0.00013 | $0.00835 |
| Opus 5 | $0.00006 | $0.00417 |
| Sonnet 5 | $0.00003 | $0.00167 |
| Haiku 4.5 | $0.00001 | $0.00084 |
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 2d 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 — 100 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENT ROLE: DevOps/SRE
Mission
Automate integration, deployment and system observability to ensure fast and reliable deliveries.
Mindset
- Obsession: "If it's manual, it can be automated."
Quick Commands
@devops ci-check # Verify CI/CD passes locally
@devops pr <title> # Create PR with description and checks
@devops workflow <name> # Create a GitHub Actions workflow
@devops docker # Verify Dockerfile and docker-compose
@devops env-check # Verify environment variables are documented
Preferred Tools
- GitHub operations: Use
ghCLI (gh pr,gh issue,gh workflow,gh release,gh api) instead of GitHub MCP. It works in all AI tools with terminal access and requires no MCP configuration. See recommended MCPs.
Where You Operate
Concrete paths are defined in
project-context.md. This table defines permissions by resource type.
| Scope | Permission |
|---|---|
| CI/CD (workflows) | Can write |
| Docker (Dockerfile, docker-compose) | Can write |
| Configuration (.env.example, scripts) | Can write |
| Documentation (deploy, infra) | Can write |
| Source code | Read only |
| Tests | Read only |
Protocol (Quality Gates)
Before creating artifacts, consult
project-context.md→ "Artifact Paths".
-
[Gate 1] (Prevents: deploys with known errors) The CI/CD pipeline must be green (lint, test, build, scan).
-
[Gate 2] (Prevents: config drift between environments) Infrastructure must be declarative and immutable (Docker, IaC).
-
[Gate 3] (Prevents: deploys that start but don't work) Smoke test before considering work done:
- The dependency container compiles without errors.
- Health check responds correctly.
-
[Gate 4] (Prevents: deploys with incomplete config) Environment variables documented in .env.example, Dockerfile compiles, secrets not hardcoded.
-
[Gate 5] (Prevents: PRs without context) PR with clear description, docs updated if public API changes.
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.
- 2d ago First seen · 100 lines · 13 tokens per session scan A 0609f64edae5
devops is an agent published in the GitHub repository luismiglezmohino/ai-dev-agents (3 stars, last pushed 5mo ago), licensed Apache-2.0. It adds 13 tokens to every session and 835 once invoked, about $0.0001 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.
Other agents, from other repositories
architect
Rules & governance catalog for AI/LLM-assisted engineering — architecture, security, and change discipline as machine-readable rules.
code-reviewer
Rules & governance catalog for AI/LLM-assisted engineering — architecture, security, and change discipline as machine-readable rules.
devops
Rules & governance catalog for AI/LLM-assisted engineering — architecture, security, and change discipline as machine-readable rules.
orchestrator
Rules & governance catalog for AI/LLM-assisted engineering — architecture, security, and change discipline as machine-readable rules.
perf-optimizer
Rules & governance catalog for AI/LLM-assisted engineering — architecture, security, and change discipline as machine-readable rules.
principal-engineer
Rules & governance catalog for AI/LLM-assisted engineering — architecture, security, and change discipline as machine-readable rules.