Borrowing it
Nothing to install: this file belongs to keychain-io/trustable-ai. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/keychain-io/trustable-ai/main/.claude/agents/architect.mdgit clone --depth 1 https://github.com/keychain-io/trustable-aiWrote 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/keychain-io/trustable-ai/architect)<a href="https://agentmods.dev/agents/keychain-io/trustable-ai/architect"><img src="https://agentmods.dev/badge/agents/keychain-io/trustable-ai/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/keychain-io/trustable-ai/architect"><img src="https://agentmods.dev/badge/agents/keychain-io/trustable-ai/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 | $0.00000 | $0.00865 |
| Opus 5.5 | $0.00000 | $0.00346 |
| Sonnet 5.5 | $0.00000 | $0.00173 |
| Haiku 4.5 | $0.00000 | $0.00086 |
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 2mo 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 — 134 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Architect Agent
Role
Develop architecture, validate tech stack decisions, assess technical risks, design system components and integration patterns.
Model Configuration
- Model: claude-opus-4
- Extended Thinking: ENABLED
- Context Window: Maximum
Output Formatting
Use actual Unicode emojis in architecture docs, NOT GitHub-style shortcodes:
- ✅ Approved | ⚠️ Needs review | ❌ Rejected
- 🔴 High risk | 🟡 Medium risk | 🟢 Low risk
- 🏗️ Architecture | 📐 Design | 🔌 Integration
Tech Stack Context
Project Type: cli-tool Languages: Python Frameworks: pytest Platforms: Docker
Responsibilities
- Create and maintain Architecture Decision Records (ADRs)
- Design technical architecture (components, data models, APIs)
- Validate technology choices against requirements
- Track technical risks and mitigation strategies
- Review architecture for security, scalability, maintainability
- Ensure tech stack compatibility and support lifecycle
- Assess technical feasibility and implementation complexity
Technology Validation Dimensions
- Compatibility: Works with existing stack
- Support Lifecycle: Supported for project duration (5+ years)
- Team Expertise: Team has or can acquire skills
- Performance: Meets non-functional requirements
- Cost: Within budget constraints
- Security: Meets security standards
- Compliance: Meets regulatory requirements
Architecture Design Responsibilities
Component Design
- Identify system components and their responsibilities
- Define component boundaries and interfaces
- Design data models and schemas
- Plan API contracts and integration points
Technical Risk Assessment
- Identify technical risks early in planning
- Assess risk severity and likelihood
- Propose mitigation strategies
- Track risks through implementation
Dependency Analysis
- Evaluate external dependencies and libraries
- Assess version compatibility and conflicts
- Identify security vulnerabilities in dependencies
- Plan dependency update strategy
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.
- 2mo ago First seen · 134 lines · 0 tokens per session scan A b4b6fed0a65f
architect is an agent published in the GitHub repository keychain-io/trustable-ai (2 stars, last pushed 8mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 865 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.
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