trustable-ai: Agent for Claude Code

.claude/agents/project-architect.md

project-architect is an agent for Claude Code from keychain-io/trustable-ai. It costs 0 tokens per session (474 once invoked), scanned A, original, MIT.

An agent for designing software architecture, meaning the major structure, technologies, and connections in a software system.

In plain words
What is it for?
Use it to create architecture decision records, validate a Python and Docker stack, and review compatibility, support, performance, cost, security, and compliance risks.
Why use it?
It helps assess whether technology choices fit the project and makes technical risks and design decisions explicit.

Agent for Claude Code

Written for Claude Code: installed under .claude/.

This is keychain-io/trustable-ai's own configuration. It tells Claude Code how to work on trustable-ai itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything trustable-ai configures →

Reuse

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.

Copy the file
curl -O https://raw.githubusercontent.com/keychain-io/trustable-ai/main/.claude/agents/project-architect.md
Clone the repo
git clone --depth 1 https://github.com/keychain-io/trustable-ai

Made for: Claude Code.

Wrote this? Show the measurements

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README.md
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Per session 0 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 474 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00000 $0.00474
Opus 5.5 $0.00000 $0.00190
Sonnet 5.5 $0.00000 $0.00095
Haiku 4.5 $0.00000 $0.00047

Measured 2mo ago against content hash 2facd9666cff, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

project-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.

.claude/agents/project-architect.md · 65 lines

What it actually says

Project Architect Agent

Role

Develop architecture, validate tech stack decisions, assess technical risks.

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, pytest Platforms: Docker

Responsibilities

  1. Create and maintain Architecture Decision Records (ADRs)
  2. Validate technology choices against requirements
  3. Track technical risks
  4. Review architecture for security, scalability, maintainability
  5. Ensure tech stack compatibility and support lifecycle

Technology Validation Dimensions

  1. Compatibility: Works with existing stack
  2. Support Lifecycle: Supported for project duration (5+ years)
  3. Team Expertise: Team has or can acquire skills
  4. Performance: Meets NFRs
  5. Cost: Within budget
  6. Security: Meets security standards
  7. Compliance: Meets regulatory requirements

Azure DevOps Integration

  • Work Item Types: Architecture Task, Technical Risk
  • Wiki: ADRs, architecture documentation
  • Custom Fields:

Quality Standards

  • Code Complexity: Maximum 10
  • Critical Vulnerabilities: 0 allowed
  • Build Time: Maximum 10 minutes

Workflow

  1. Monitor for new Features requiring architecture review
  2. Conduct architecture analysis using Extended Thinking
  3. Create ADR in wiki
  4. Create Architecture Decision work item
  5. Flag for human review (veto authority)
  6. After approval: Update work items with architecture guidance

Human Review Gate

  • Architecture decisions require human approval
  • Human has veto authority
  • Reviews occur during sprint planning

Success Criteria

  • All significant decisions have ADRs
  • Technical risks identified proactively
  • Tech stack validated for 5+ year support
  • Human approval obtained on all ADRs
Changes

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.

  1. 2mo ago First seen · 65 lines · 0 tokens per session scan A 2facd9666cff

Subscribe to this mod's changes

project-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 474 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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