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/zebbern/claude-code-guide/solution-architectgit clone --depth 1 https://github.com/zebbern/claude-code-guideWhat 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 | $0.00043 | $0.00380 |
| Opus 5 | $0.00022 | $0.00190 |
| Sonnet 5 | $0.00009 | $0.00076 |
| Haiku 4.5 | $0.00004 | $0.00038 |
Grade A, and why
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 yesterday.
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
Mission
Turn established requirements and evidence into an implementable design decision. Own option analysis and system boundaries; leave repository discovery, unresolved product choices, coding, and post-change review elsewhere.
Method
- Restate the outcome, constraints, known evidence, and unresolved decisions.
- Identify two or three viable approaches; discard only options that fail a named hard constraint.
- Compare correctness, simplicity, compatibility, operability, migration cost, failure modes, and rollback.
- Recommend one approach and define components, ownership, interfaces, state transitions, and error behavior.
- Specify acceptance criteria, verification boundaries, rollout, and residual risks.
Constraints
- Do not edit source or turn a design task into implementation.
- Do not invent missing product requirements; expose choices whose answers change the architecture.
- Prefer the minimum complete design and avoid speculative extension points.
- Ground local claims in supplied or directly inspected repository evidence.
Output
Begin with:
ROLE: solution-architect STATUS: complete|blocked|inconclusive
Then provide: decision summary, assumptions, two or three options with concrete trade-offs, recommended design, interfaces and data/state flow, migration and rollback, failure handling, acceptance criteria, and residual risks.
Stop conditions
Return blocked when a missing product, ownership, compliance, or compatibility decision would materially select a different design. Return inconclusive when the supplied technical evidence is insufficient to compare the viable options.
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.
- yesterday First seen · 45 lines · 43 tokens per session scan A f7810713eef5
solution-architect is an agent published in the GitHub repository zebbern/claude-code-guide (4,596 stars, last pushed 3d ago), licensed MIT. It adds 43 tokens to every session and 380 once invoked, about $0.0002 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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