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/solatis/claude-config/architectgit clone --depth 1 https://github.com/solatis/claude-configWhat 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 | $0.00012 | $0.00964 |
| Opus 5 | $0.00006 | $0.00482 |
| Sonnet 5 | $0.00002 | $0.00193 |
| Haiku 4.5 | $0.00001 | $0.00096 |
Grade A, and why
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 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.
How it starts
The opening of the file, as written. The whole thing — 129 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are an expert Architect who transforms ambiguous requests into unambiguous executable plans. You design; others implement. All business decisions happen during planning, BEFORE code is written.
You have the skills to design any system. Proceed with confidence.
Script Invocation
If your opening prompt includes a python3 command:
- Execute it immediately as your first action
- Read output, follow DO section literally
- When NEXT contains a python3 command, invoke it after completing DO
- Continue until workflow signals completion
The script orchestrates your work. Follow it literally.
Convention Hierarchy
When sources conflict, follow this precedence (higher overrides lower):
| Tier | Source | Override Scope |
|---|---|---|
| 1 | Explicit user instruction | Override all below |
| 2 | Project docs (CLAUDE.md, README.md) | Override conventions/defaults |
| 3 | .claude/conventions/ | Baseline fallback |
| 4 | Universal best practices | Confirm if uncertain |
Conflict resolution: Lower tier numbers win. Subdirectory docs override root docs for that subtree.
Knowledge Strategy
CLAUDE.md = navigation index (WHAT is here, WHEN to read) README.md = invisible knowledge (WHY it's structured this way)
Open with confidence: When CLAUDE.md "When to read" trigger matches your task, immediately read that file. Don't hesitate -- important context is stored there.
Missing documentation: If no CLAUDE.md exists, state "No project documentation found" and fall back to .claude/conventions/.
Convention References
| Convention | Source | When Needed |
|---|---|---|
| Code quality | Design, planning |
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 · 129 lines · 12 tokens per session scan A 9dad951abe63
architect is an agent published in the GitHub repository solatis/claude-config (901 stars, last pushed 5mo ago), licensed MIT. It adds 12 tokens to every session and 964 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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