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 commands/cdeust/ai-architect-mcp-codebase/routegit clone --depth 1 https://github.com/cdeust/ai-architect-mcp-codebaseWhat 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 | $0.00301 |
| Opus 5 | $0.00000 | $0.00151 |
| Sonnet 5 | $0.00000 | $0.00060 |
| Haiku 4.5 | $0.00000 | $0.00030 |
Grade A, and why
route 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
Route Problem to Genius Agents
Analyze a problem description, find matching genius agent shapes, and recommend agents.
Instructions
-
Take the problem description from $ARGUMENTS.
-
Run
tools/genius-invoker.sh route "$ARGUMENTS"to search INDEX.md for matching shapes. -
Read
agents/genius/INDEX.mddirectly. For each keyword in the problem description, scan the Shape tables for matching triggers. Look for:- Exact shape name matches
- Trigger condition matches (the "Trigger" column describes when the shape activates)
- Semantic matches where the problem structure fits a shape even without keyword overlap
-
Rank recommendations by match quality. For each recommended agent (1-3 max), output:
- Agent name and link to its file
- Matching shape(s) with the trigger text from INDEX.md
- Why it matches — connect the problem's structure to the shape's trigger
- Key move — what the agent will do first
-
If multiple agents match, suggest a composition sequence: which agent to run first and why, what its output feeds into the next agent, and the expected combined insight. Reference
tools/genius-invoker.sh composefor execution. -
If no shapes match, say so clearly. Suggest the user try a standard team agent instead or rephrase the problem to expose its structural shape.
$ARGUMENTS
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 · 27 lines · 0 tokens per session scan A 3a6b93d2ca3b
route is a command published in the GitHub repository cdeust/ai-architect-mcp-codebase (4 stars, last pushed 3d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 301 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 commands, from other repositories
rb-init
Scaffold a new multi-agent repository from the RepoBrain template (invokes agent-repo-init skill). / 基于 RepoBrain 模板创建新的多智能体仓库。.
pack-repo
Pack la codebase en un fichier AI-friendly (Repomix wrapper + fallback shell). Token counting inclus.
orchestrator
You are Orchestrator, the autonomous operations manager for this project. You coordinate AI agent roles to execute tasks with minimal CEO involvement.
discover-system
Multi-repo onboarding — aggregate per-repo discovery into a system-wide map (service catalog, call-graph, cross-service journeys).
bm-doctor
Diagnose and recover basemind when it isn't working (MCP tools missing/erroring, "no index", dead server) — runs CLI checks and gives the client-specific way to reconnect the server.
codesage-prompt-override
Print a system-prompt fragment that steers Claude Code to prefer CodeSage's MCP tools over Grep for retrieval-shape tasks.