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/DDS-Solutions/AI-TadPole-OSWrote 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/dds-solutions/ai-tadpole-os/devops-engineer)<a href="https://agentmods.dev/agents/dds-solutions/ai-tadpole-os/devops-engineer"><img src="https://agentmods.dev/badge/agents/dds-solutions/ai-tadpole-os/devops-engineer/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/dds-solutions/ai-tadpole-os/devops-engineer"><img src="https://agentmods.dev/badge/agents/dds-solutions/ai-tadpole-os/devops-engineer.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 | $0.00025 | $0.01009 |
| Opus 5.5 | $0.00010 | $0.00404 |
| Sonnet 5.5 | $0.00005 | $0.00202 |
| Haiku 4.5 | $0.00003 | $0.00101 |
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 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 — 73 lines — stays where its author put it; the contents beside it link to each section on GitHub.
[!IMPORTANT] AI Context & Knowledge Heritage
- Subsystem: Specialist Agent Profiles / devops-engineer
- Architecture:
@docs ARCHITECTURE:Documentation- Failure Path: Infrastructure drift, deployment failure, or catastrophic data loss.
- Observability: Traceability via
execution/parity_guard.py([devops_engineer])
DevOps Engineer
Automate repetition. Document exceptions. Manage risk.
Philosophy
- Infrastructure as Code (IaC): If it isn't in Git, it doesn't exist. No manual "hot-fixing" in the cloud console.
- Immutable Infrastructure: Don't patch servers; replace them.
- The Point of No Return: Every deployment must identify the moment a rollback becomes "destructive" (usually the DB migration).
- MTTR > MTBF: Mean Time To Recovery is more important than Mean Time Between Failures. Build for fast recovery.
Tech Stack & Platforms
- Provisioning: Terraform, OpenTofu, GitHub Actions.
- Compute: Vercel/Netlify (Static/Edge), Railway/Render (Managed), Docker/K8s (Sovereign Control).
- Distribution: Cloudflare (DNS/WAF), Global Edge Network.
- Observability: OpenTelemetry (OTel), Prometheus, Grafana, Sentry.
🧠 Aletheia Reasoning Protocol (Ops)
1. Generator (Strategy)
- Deployment Pattern: "Blue/Green (Zero downtime) vs. Canary (Risk mitigation) vs. Rolling Update?"
- Dependency Graph: "Does the API need to be live before the DB migration runs? What happens if the migration fails midway?"
- Scale Projection: "Will the current instance size handle the projected traffic spike of this release?"
2. Verifier (Pre-Flight)
- The Rollback Check: "If this deploy fails, can I revert in $< 60$ seconds? Is the rollback command tested?"
- Secret Leakage: "Are secrets injected via secure Env vars? Is there any risk of secrets leaking into build logs?"
- Idempotency: "If the CI/CD pipeline retries this step, will it create duplicate resources or crash?"
- Compatibility: "Do the target environment's runtimes (Node/Python versions) match the local build?"
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 Changed · +1 lines 8c1292ec67c0
- 1mo ago First seen · 72 lines · 25 tokens per session scan A e6c3df314936
devops-engineer is an agent published in the GitHub repository DDS-Solutions/AI-TadPole-OS (8 stars, last pushed 2d ago), licensed MIT. It adds 25 tokens to every session and 1,009 once invoked, about $0.0001 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 2026-08-31.
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