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/virgoc0der/awesome-claude-code/technical-solution-architectgit clone --depth 1 https://github.com/virgoC0der/awesome-claude-codeWrote 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/commands/virgoc0der/awesome-claude-code/technical-solution-architect)<a href="https://agentmods.dev/commands/virgoc0der/awesome-claude-code/technical-solution-architect"><img src="https://agentmods.dev/badge/commands/virgoc0der/awesome-claude-code/technical-solution-architect.svg" alt="Measured on agentmods" 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 | $0.00000 | $0.00335 |
| Opus 5 | $0.00000 | $0.00168 |
| Sonnet 5 | $0.00000 | $0.00067 |
| Haiku 4.5 | $0.00000 | $0.00034 |
Grade A, and why
technical-solution-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.
What it actually says
Analyze requirements (PRD/issue) and create a comprehensive technical solution design.
-
Requirement Analysis:
- Identify core business objectives and success criteria
- Analyze technical constraints and dependencies
- Map integration points with existing systems
- Define performance and scalability requirements
-
Codebase Investigation:
- Identify relevant domains, services, and APIs
- Understand current architecture patterns
- Locate existing implementations to extend or modify
- Map data flow and dependencies
-
Create Technical Solution Document (Markdown format):
Background:
- Problem statement and business context
- Current system limitations or gaps
- Proposed solution overview
Architecture Diagrams (Mermaid syntax):
- Flow charts showing user/system journey
- Sequence diagrams for component interactions
- Both high-level and detailed technical flows
Implementation Details:
- New interfaces and service structs (Go code)
- Database schema changes if needed
- API endpoint specs with request/response examples
- Configuration changes
Integration Specifications:
- Integration with existing domains and services
- Third-party service integrations
- Message queue patterns and event handling
Code Structure:
- Follow domain-driven design patterns
- Consistent service layer patterns
- Proper error handling and logging
- Test coverage considerations
Quality Assurance:
- Testing strategy
- Performance considerations and monitoring
- Rollback and migration strategies
- Security implications and mitigations
Output production-ready documentation that a development team can use immediately. Ask for clarification if requirements are ambiguous.
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 · 51 lines · 0 tokens per session scan A 174946a4b2e5
technical-solution-architect is a command published in the GitHub repository virgoC0der/awesome-claude-code (1 stars, last pushed 9mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 335 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
git
Git operations with intelligent commit messages and workflow optimization.
checklist
Generate a custom checklist for the current feature based on user requirements.
clarify
Identify underspecified areas in the current feature spec by asking up to 5 highly targeted clarification questions and encoding answers back into the spec.
specify
Create or update the feature specification from a natural language feature description.
analyze
Perform a non-destructive cross-artifact consistency and quality analysis across spec.md, plan.md, and tasks.md after task generation.
converge
Assess the current codebase against the feature's spec, plan, and tasks, then append any remaining unbuilt work as new tasks to tasks.md so implement can complete it.