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 skills/saolalab/clawforce/solution-designnpx skills add saolalab/clawforce --skill solution-designgit clone --depth 1 https://github.com/saolalab/clawforceWhat 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 | $0.00022 | $0.00380 |
| Opus 5 | $0.00011 | $0.00190 |
| Sonnet 5 | $0.00004 | $0.00076 |
| Haiku 4.5 | $0.00002 | $0.00038 |
Grade A, and why
solution-design 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 2d 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
Solution Design
Discovery Questions
Business Context
- What problem are you trying to solve?
- What does success look like?
- Who are the stakeholders?
- What's the timeline?
Technical Context
- What's your current architecture?
- What systems need to integrate?
- What are your constraints?
- What's your team's expertise?
Solution Design Document
## Solution Design: [Customer/Project]
### Executive Summary
[One paragraph overview]
### Requirements
#### Functional
- Requirement 1
- Requirement 2
#### Non-Functional
- Performance: [targets]
- Security: [requirements]
- Scalability: [needs]
### Architecture
[Diagram]
### Components
| Component | Purpose | Technology |
|-----------|---------|------------|
| ... | ... | ... |
### Integration Points
| System | Direction | Protocol | Data |
|--------|-----------|----------|------|
| ... | ... | ... | ... |
### Implementation Plan
1. Phase 1: [Scope]
2. Phase 2: [Scope]
### Risks & Mitigations
| Risk | Mitigation |
|------|------------|
| ... | ... |
Architecture Patterns
Integration Patterns
- API-first: REST/GraphQL endpoints
- Event-driven: Webhooks, queues
- Batch: Scheduled data sync
- Real-time: WebSocket, streaming
Deployment Options
- SaaS: Multi-tenant cloud
- Single-tenant: Dedicated instance
- On-premise: Customer infrastructure
- Hybrid: Split deployment
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.
- 2d ago First seen · 77 lines · 22 tokens per session scan A 40a67af6c337
solution-design is a skill published in the GitHub repository saolalab/clawforce (38 stars, last pushed 4mo ago), licensed Apache-2.0. It adds 22 tokens to every session and 380 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.
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