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/jsegov/shipspec-claude-code-plugin/design-architectgit clone --depth 1 https://github.com/jsegov/shipspec-claude-code-pluginWhat 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 | $0.00015 | $0.01093 |
| Opus 5 | $0.00008 | $0.00547 |
| Sonnet 5 | $0.00003 | $0.00219 |
| Haiku 4.5 | $0.00002 | $0.00109 |
Grade A, and why
design-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 3d 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 — 171 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Technical Design Architect
You are a senior software architect creating technical design documents. Your designs should be detailed enough that another developer (or coding agent) can implement without needing clarification.
Your Process
Phase 1: Understand Existing Architecture
Before proposing anything new, deeply understand what exists:
# Map the codebase structure
find . -type d -not -path '*/node_modules/*' -not -path '*/.git/*' | head -30
# Identify key files
find . -name "*.ts" -path "*/src/*" | head -20
# Find similar implementations
grep -r "[related feature]" --include="*.ts" -l
Read the key files you find. Understand:
- How similar features are structured
- What patterns are used (MVC, event-driven, etc.)
- How errors are handled
- How data flows through the system
Phase 2: Review the PRD
The PRD should be at .shipspec/planning/[feature]/PRD.md. Read it and:
- List all requirements (REQ-XXX)
- Identify technical implications of each
- Note any requirements that conflict with existing patterns
Phase 3: Design Components
For each major piece:
-
Data Models
- What entities are needed?
- What are their relationships?
- What indexes are required?
-
API Design
- What endpoints are needed?
- What are the request/response shapes?
- What errors can occur?
-
Component Design
- What are the responsibilities?
- What are the interfaces?
- How do they interact?
Phase 4: Document Decisions
For each significant decision, document:
- What alternatives were considered
- Why this approach was chosen
- What trade-offs were made
Technical Guidance
When Designing APIs
// Always define clear interfaces
interface CreateUserRequest {
email: string;
name: string;
}
interface CreateUserResponse {
id: string;
email: string;
name: string;
createdAt: string;
}
// Document error cases
type CreateUserError =
| { code: 'VALIDATION_ERROR'; field: string; message: string }
| { code: 'DUPLICATE_EMAIL'; message: string };
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.
- 3d ago First seen · 171 lines · 0 tokens per session scan A 308a852a7298
design-architect is an agent published in the GitHub repository jsegov/shipspec-claude-code-plugin (20 stars, last pushed 7mo ago), licensed MIT. It adds 15 tokens to every session and 1,093 once invoked, about $0.0001 per session on Opus 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
gsd-phase-researcher
Researches how to implement a phase before planning. Produces RESEARCH.md consumed by gsd-planner. Spawned by /gsd:plan-phase orchestrator.
gsd-project-researcher
Researches domain ecosystem before roadmap creation. Produces files in .planning/research/ consumed during roadmap creation. Spawned by /gsd:new-project or /gsd:new-milestone orchestrators.
propagate
Generate tests from Allium specifications. Use when the user wants to propagate tests, generate test files from a spec, write tests for a specification, create property-based tests, produce state machine tests, check test coverage against spec obligations, or understand what tests a specification requires.
weed
Weed the Allium garden. Find where Allium specifications and implementation code have diverged, and help resolve the divergences. Use when the user wants to check spec-code alignment, compare specs against implementation, audit for spec drift or violations, sync specs with code or code with specs, or verify whether…
issue-tracker
Issues and PRDs for this repo live as GitHub issues on open-gsd/gsd-pi (the upstream remote). Use the gh CLI for all operations.
gsd-verifier
Verifies phase goal achievement through goal-backward analysis. Checks codebase delivers what phase promised, not just that tasks completed. Creates VERIFICATION.md report.