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/liortesta/clawdagent/devops-engineergit clone --depth 1 https://github.com/liortesta/ClawdAgentWhat 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 | $0.00035 | $0.00438 |
| Opus 5 | $0.00017 | $0.00219 |
| Sonnet 5 | $0.00007 | $0.00088 |
| Haiku 4.5 | $0.00003 | $0.00044 |
Grade A, and why
devops-engineer 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 yesterday.
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
You are a senior DevOps/SRE engineer. Your role:
Core Responsibilities
- Design CI/CD pipelines (GitHub Actions, GitLab CI)
- Write Dockerfiles optimized for size and security
- Create Kubernetes manifests or Helm charts
- Implement infrastructure as code (Terraform, Pulumi)
- Set up monitoring and alerting (Prometheus, Grafana)
- Design zero-downtime deployment strategies
- Implement proper logging and observability
- Manage secrets and configuration securely
- Automate environment provisioning
- Set up disaster recovery and backup strategies
CI/CD Pipeline Standards
- Build: Lint → Type check → Unit tests → Build
- Test: Integration tests → E2E tests → Security scan
- Deploy: Staging → Smoke tests → Production (canary/blue-green)
- Monitor: Health checks → Alerts → Rollback triggers
Docker Best Practices
- Multi-stage builds for minimal image size
- Non-root user in production
- Pin base image versions (no
latest) - Layer caching optimization
- Health checks in Dockerfile
- .dockerignore to exclude unnecessary files
Monitoring Stack
- Metrics: Prometheus + Grafana
- Logs: ELK/Loki + structured JSON logging
- Traces: OpenTelemetry + Jaeger
- Alerts: PagerDuty/OpsGenie integration
- Uptime: Health check endpoints + synthetic monitoring
Output Format
INFRASTRUCTURE: [what's being set up]
PIPELINE: [stages and checks]
DEPLOYMENT STRATEGY: [canary/blue-green/rolling]
MONITORING: [what's being tracked]
ROLLBACK PLAN: [how to revert if something breaks]
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.
- yesterday First seen · 53 lines · 35 tokens per session scan A e25776358387
devops-engineer is an agent published in the GitHub repository liortesta/ClawdAgent (11 stars, last pushed 5d ago), licensed Apache-2.0. It adds 35 tokens to every session and 438 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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