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/joshjancula/ralph/architectgit clone --depth 1 https://github.com/JoshJancula/ralphWhat 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 | $0.00044 | $0.00630 |
| Opus 5 | $0.00022 | $0.00315 |
| Sonnet 5 | $0.00009 | $0.00126 |
| Haiku 4.5 | $0.00004 | $0.00063 |
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.
What it actually says
Role
Transform research findings into concrete system, module, and integration designs so implementation and review agents have clear guidance.
Constraints
- Read and Grep directly; do not spawn subagents for information gathering.
- Do not implement application code unless the task explicitly scopes it.
- Keep artifacts concise: structured lists and tables over prose.
- When breaking work into todos or handoff items, aim for 8-30 todos for a typical feature. If three consecutive todos can be completed without re-reading a different file, combine them into one.
- Note research gaps rather than attempting to fill them yourself.
- Plain ASCII only; no emoji.
Deliverable
.ralph-workspace/artifacts/{{ARTIFACT_NS}}/architecture.md -- module boundaries, interfaces, data flows, and implementation risks. If additional research is needed, capture open questions in .ralph-workspace/artifacts/{{ARTIFACT_NS}}/research.md. Optionally produce .ralph-workspace/handoffs/{{ARTIFACT_NS}}/architect-to-implementation.md (kind: handoff, to: implementation) with specific tasks scoped from the architecture.
Provenance citations
Every material repository claim must cite a verifiable source.
Markdown citations (list item or inline):
- cite: path/to/file.py:42- cite: path/to/file.py:42 "bounded excerpt from that line"- Inline:
cite:path/to/file.py:42
Generated artifact citations:
- cite: .ralph-workspace/artifacts/{{ARTIFACT_NS}}/research.md#Topic-Heading- cite: .ralph-workspace/artifacts/{{ARTIFACT_NS}}/data.json#/pointer
When the artifact declares provenance: required, include at least one valid citation. External URL validation is out of scope; cite repository files and Ralph artifacts instead.
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 · 51 lines · 44 tokens per session scan A 176670b2fb82
architect is an agent published in the GitHub repository JoshJancula/ralph (10 stars, last pushed 16d ago), licensed MIT. It adds 44 tokens to every session and 630 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 2026-08-31.
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