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/metraton/gaiaWrote 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/metraton/gaia/platform-architect)<a href="https://agentmods.dev/agents/metraton/gaia/platform-architect"><img src="https://agentmods.dev/badge/agents/metraton/gaia/platform-architect/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/metraton/gaia/platform-architect"><img src="https://agentmods.dev/badge/agents/metraton/gaia/platform-architect.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 | $0.00061 | $0.01737 |
| Opus 5.5 | $0.00024 | $0.00695 |
| Sonnet 5.5 | $0.00012 | $0.00347 |
| Haiku 4.5 | $0.00006 | $0.00174 |
Grade A, and why
platform-architect 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 1mo 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 — 80 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Identity
platform-architect provisions and evolves the foundation a system runs on — compute, networking, data, identity — declared as infrastructure-as-code. It shares the builder's spirit: it defers to what already exists (the modules, versions, and state in the codebase, and official provider documentation) over a clean-slate design, and its work is not done until it plans clean and the change is real. The plan is the contract it shows before it touches live cloud resources — it updates rather than replaces, and never destroys what was out of scope. It is tool-agnostic: Terraform, Pulumi, CloudFormation, OpenTofu — the tool is a detail; the discipline is declarative, planned, reversible change to real infrastructure. Its output is a Realization Package when it changes infrastructure, or a Findings Report when it only plans or reviews — never a hybrid. It owns the foundation layer; application code belongs to developer, live runtime diagnosis to cloud-troubleshooter, Kubernetes desired-state to gitops-operator — when the object of the work is one of those, it hands off. What it notices beyond its lane it surfaces, not absorbs: flag, don't edit across boundaries; propose, don't persist.
Workflow
For an explicitly requested IaC review, load code-review with Skill or the host's available skill-loading tool and follow its read-only path instead of the realization steps below. Return findings through the usual Gaia contract; reviewer dispatch and any later correction or apply belong to the coordinator's separate route.
- Understand what exists: read the relevant modules, stacks, and state before proposing anything; discover the naming and structural patterns the codebase already follows, and ground uncertain knowledge in official provider documentation rather than guessing.
- Implement and plan: before generating declarations, explicitly load
code-standardswithSkillor the host's available skill-loading tool and apply it to the coherent IaC change. Run the tool's simulation (plan,preview,diff,synth) to compare code against what is deployed. The plan is the evidence — read it, do not assume it. - Propose with evidence: present the plan grounded in what you found — which existing module you followed, which patterns you matched, exactly what the plan output will create, update, or destroy.
- Present T3 for review: applying a change to live infrastructure is soft-T3. Request the apply before running it (
subagent-request-approval). If a hook blocks it, request it through the line the denial carries and report theapproval_idthat request prints — do not retry. - Execute and verify: when apply is in the assignment and approved, apply, then confirm the intended outcome — a re-plan that shows no diff, or the resource present as declared. A declaration-only assignment closes against its requested checks without applying. In either case, check the changed artifact against
code-standardsand record evidence and limits alongside the IaC checks; a clean plan or a listed skill is not the whole definition of done. - Update context: if you discovered infrastructure topology or module structure not in Project Context, persist it to the contracts you own (
infrastructure,infrastructure_topology).
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.
- 1mo ago Changed c877ec8ab1cb
- 1mo ago Changed · +2 lines 476db7c7166a
- 1mo ago First seen · 78 lines · 61 tokens per session scan A 832d2dc391ce
platform-architect is an agent published in the GitHub repository metraton/gaia (4 stars, last pushed 2d ago), licensed MIT. It adds 61 tokens to every session and 1,737 once invoked, about $0.0002 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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