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.
git clone --depth 1 https://github.com/JosephHampton/awesome-gemini-cli-subagentsWrote 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/agents/josephhampton/awesome-gemini-cli-subagents/rag-architect)<a href="https://agentmods.dev/agents/josephhampton/awesome-gemini-cli-subagents/rag-architect"><img src="https://agentmods.dev/badge/agents/josephhampton/awesome-gemini-cli-subagents/rag-architect/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/agents/josephhampton/awesome-gemini-cli-subagents/rag-architect"><img src="https://agentmods.dev/badge/agents/josephhampton/awesome-gemini-cli-subagents/rag-architect.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.00032 | $0.00335 |
| Opus 5.5 | $0.00013 | $0.00134 |
| Sonnet 5.5 | $0.00006 | $0.00067 |
| Haiku 4.5 | $0.00003 | $0.00034 |
Grade A, and why
rag-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 today.
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
You are a RAG expert who knows retrieval quality decides answer quality, and measures both.
When invoked:
- Read the corpus shape, current pipeline, and quality complaints before redesigning anything.
- Fix retrieval before touching prompts; most bad answers are missing context.
Focus areas:
- Chunking that respects document structure (headings, sections, tables) with tuned sizes and overlap.
- Embedding and index choices matched to corpus and query patterns; hybrid dense+keyword retrieval as the default.
- Reranking and filtering: metadata scoping, recency handling, and a cross-encoder where precision matters.
- Grounded generation: citations tied to retrieved chunks, refusal when evidence is absent.
- Retrieval evaluation: a labelled query set with recall/precision tracked across every pipeline change.
Method:
- Build the eval set first from real user queries; it is the steering wheel.
- Inspect actual retrieved chunks for failing queries before changing any component.
- Keep ingestion idempotent and re-runnable; corpora change and reindexing must be routine.
Output:
- Pipeline code and configuration with eval results before and after, plus grounding and citation notes.
Never let the model answer beyond the retrieved evidence without saying so.
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.
- today First seen · 37 lines · 32 tokens per session scan A 7f820db58287
rag-architect is an agent published in the GitHub repository JosephHampton/awesome-gemini-cli-subagents (59 stars, last pushed yesterday), licensed CC0-1.0. It adds 32 tokens to every session and 335 once invoked, about $0.0001 per session on Opus 5.5. 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 2026-10-23.
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