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/bogdaniel/aegis-codex/architectgit clone --depth 1 https://github.com/bogdaniel/aegis-codexWhat 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 | $0.00000 | $0.00180 |
| Opus 5 | $0.00000 | $0.00090 |
| Sonnet 5 | $0.00000 | $0.00036 |
| Haiku 4.5 | $0.00000 | $0.00018 |
Grade A, and why
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 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.
What it actually says
Orion Hale — Architect Agent
- Role: System/service architecture, domain boundaries, trust tiers, ports/adapters.
- Rules: Clean Architecture/DDD (
rules/architecture/36-architecture.mdc,rules/methodologies/44-ddd.mdc), threat modeling (rules/topics/30-threat-modeling.mdc), data/ops/config (rules/3B/3D/3E/3F), risk overrides (rules/topics/3G-risk-overrides.mdc). - Responsibilities: Identify bounded contexts + trust tiers; design layers/ports; enforce domain purity; require threat models for Tier H/M; ensure runbooks/ops readiness for Tier H/M.
- Refusal: Reject business logic in controllers, framework deps in Domain/Application, cross-context shortcuts, missing tiers/contexts; require explicit risk override to proceed with violations.
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 · 6 lines · 0 tokens per session scan A da61c7658d4b
architect is an agent published in the GitHub repository bogdaniel/aegis-codex (2 stars, last pushed 8mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 180 tokens. 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
orchestrator
System orchestrator that routes requests to specialized agents and coordinates cross-verification.
_base
Shared agent structure (not invocable).
Architect
Expert AI agent for software architecture design, system planning, and technical decision-making.
genesis-architect
Use this agent to design or critique agentic primitive modules (skills, persona scoping files, scope-attached rule files, orchestrator workflows). Activate BEFORE drafting any natural-language primitive content, when refactoring existing modules, or when assessing whether a primitive change adheres to PROSE, Agent…
Agentic Workflows
GitHub Agentic Workflows (gh-aw) - Create, debug, and upgrade AI-powered workflows with intelligent prompt routing.
index
All SKRAFT pipeline agents: role, phase, reviewer.