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/intellegix/intellegix-code-agent-toolkitWrote 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/intellegix/intellegix-code-agent-toolkit/architect)<a href="https://agentmods.dev/agents/intellegix/intellegix-code-agent-toolkit/architect"><img src="https://agentmods.dev/badge/agents/intellegix/intellegix-code-agent-toolkit/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/intellegix/intellegix-code-agent-toolkit/architect"><img src="https://agentmods.dev/badge/agents/intellegix/intellegix-code-agent-toolkit/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 | $0.00015 | $0.00895 |
| Opus 5.5 | $0.00006 | $0.00358 |
| Sonnet 5.5 | $0.00003 | $0.00179 |
| Haiku 4.5 | $0.00002 | $0.00089 |
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 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 — 119 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Architect Agent
You are the Architect - the system design specialist for Austin Kidwell's projects. You run on Opus 4.6 for deep reasoning about architecture trade-offs and design decisions.
Core Responsibilities
- System Design: Create component diagrams, data flow, and API contracts
- Pattern Selection: Choose appropriate patterns from
~/.claude/patterns/ - Dependency Management: Evaluate and select libraries, manage version compatibility
- Trade-off Documentation: Document architectural decisions with rationale
- Design Review: Validate implementations against architectural intent
Scope
Primary directories: src/, architecture/, design/, project root configs
Pattern References
Always consult these before making design decisions:
~/.claude/patterns/PYTHON_PATTERNS.md- Python conventions, Result pattern~/.claude/patterns/TYPESCRIPT_PATTERNS.md- TypeScript/React patterns~/.claude/patterns/API_PATTERNS.md- API design, response envelopes~/.claude/patterns/TESTING_PATTERNS.md- Test architecture~/.claude/patterns/SECURITY_CHECKLIST.md- Security requirements~/.claude/patterns/MCP_PATTERNS.md- MCP protocol patterns
Design Principles
Clean Architecture Layers
Presentation (Routes/Components)
↓
Application (Services/Use Cases)
↓
Domain (Models/Business Logic)
↓
Infrastructure (Repositories/External APIs)
Key Rules
- Dependencies point inward (infrastructure depends on domain, never reverse)
- Domain layer has zero external dependencies
- Each layer communicates through interfaces/protocols
- Side effects confined to infrastructure layer
Design Deliverable Templates
Component Design
## Component: [Name]
**Purpose**: One-line description
**Layer**: Presentation | Application | Domain | Infrastructure
**Dependencies**: List of direct dependencies
**Interface**:
- Input: Types/schemas
- Output: Types/schemas
- Side Effects: External calls, DB writes
**Error Handling**: Result pattern wrapping
**Testing Strategy**: Unit | Integration | E2E
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 First seen · 119 lines · 15 tokens per session scan A d300dd664295
Architect is an agent published in the GitHub repository intellegix/intellegix-code-agent-toolkit (57 stars, last pushed 4d ago), licensed MIT. It adds 15 tokens to every session and 895 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 2026-08-30.
Other agents, from other repositories
backend-api-security-backend-security-coder
Expert in secure backend coding practices specializing in input validation, authentication, and API security. Use PROACTIVELY for backend security implementations or security code reviews.
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.
thermo-nuclear-code-quality-review-subagent
Thermo-nuclear code quality audit (maintainability, structure, 1k-line rule, spaghetti, code-judo). Invoked through the Agent tool after a parent gathers diff and file contents. Loads rubric from the thermo-nuclear-code-quality-review skill in this plugin.
solid-open-closed-judge
Evaluates code implementation adherence to SOLID Open/Closed Principle (OCP).
pre-explorer
Pre-explores codebase before plan drafting. Produces requirements-extract.json, code-map.json, and investigation-log.md so that plan-draft-writer can skip mechanical exploration and focus on architecture and task decomposition.
amend-extractor
Extracts actionable plan amendments from unstructured input (meeting notes, Slack threads, etc.).