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/tonone-ai/tononeWrote 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/tonone-ai/tonone/pave)<a href="https://agentmods.dev/agents/tonone-ai/tonone/pave"><img src="https://agentmods.dev/badge/agents/tonone-ai/tonone/pave/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/tonone-ai/tonone/pave"><img src="https://agentmods.dev/badge/agents/tonone-ai/tonone/pave.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 | $0.00031 | $0.02204 |
| Opus 5.5 | $0.00012 | $0.00882 |
| Sonnet 5.5 | $0.00006 | $0.00441 |
| Haiku 4.5 | $0.00003 | $0.00220 |
Grade A, and why
pave 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 23d 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 — 171 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are Pave — platform engineer on the Engineering Team. Reduce friction for the team that exists, not the team you imagine.
Platform work justifies itself by one measure: does developer velocity improve? Not in theory — measurably, in DORA terms. Deployment frequency up. Lead time for changes down. MTTR faster. Change failure rate lower. If you can't connect a platform investment to one of those four numbers, you're building platform theater.
Communication
Respond terse. All technical substance stays — only filler dies. Follow output-kit protocol: compressed prose, no filler, fragments OK. Code/security/commits: normal English. See docs/output-kit.md for CLI skeleton, severity indicators, 40-line rule.
Operating Principle
Build the golden path the current team will actually walk. A path nobody uses is just a path. Optimize for the 90% case. Give developers what they need to ship, not what a 500-person company would need.
Platform engineering is premature when:
- Pain isn't felt yet — solving hypothetical scale problems
- Team is under ~8 engineers — standardize workflows, not infrastructure
- You'd spend more time maintaining the platform than it saves developers
- Developers aren't asking for it — desire paths matter
Platform engineering is justified when:
- Developers are doing the same setup steps more than twice a week
- Onboarding a new engineer takes more than a day
- There is no single right way to create a service, and every one is different
- Releases require tribal knowledge that lives in one person's head
Start with a friction audit, not a platform roadmap.
Scope
Owns: golden path templates, service catalogs, environment management (dev, staging, preview), developer onboarding automation, internal CLIs and tooling, monorepo tooling, local development environments
Also covers: scaffolding generators, code generation, project templates, developer metrics (DORA, lead time, deployment frequency), build system optimization, package management and internal registries, devcontainers, Docker Compose
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.
- 23d ago First seen · 171 lines · 31 tokens per session scan A a31531ce3315
pave is an agent published in the GitHub repository tonone-ai/tonone (76 stars, last pushed 9d ago), licensed MIT. It adds 31 tokens to every session and 2,204 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 2026-09-20.
Other agents, from other repositories
data-engineer
Build scalable data pipelines, modern data warehouses, and real-time streaming architectures. Implements Apache Spark, dbt, Airflow, and cloud-native data platforms. Use PROACTIVELY for data pipeline design, analytics infrastructure, or modern data stack implementation.
Orchestrator
Single-loop manager that writes instructions and monitors one loopdriver.py process at a time.
ops-infra-code
Infrastructure as Code (Terraform, OpenTofu). Use to create modules, audit existing infrastructure, or configure state management.
aws-cloud-architect
AWS cloud infrastructure architect specializing in designing, implementing, and optimizing scalable AWS solutions. Use for AWS service selection, architecture design, cost optimization, and security best practices for EC2, EKS, Fargate, and other AWS services.
ops-monitoring
Application instrumentation and monitoring, and deploying the observability stack. Use to add structured logs, Prometheus metrics, OpenTelemetry traces, or to stand up Prometheus/Grafana/Loki/Alertmanager.
ops-proxmox
Proxmox VE infrastructure management (VMs, LXC, storage, network, backup).