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 skills add freestyler-arb/imagine-gemini-for-claude-codex --skill gemini-proxygit clone --depth 1 https://github.com/freestyler-arb/imagine-gemini-for-claude-codexWrote 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/skills/freestyler-arb/imagine-gemini-for-claude-codex/gemini-proxy)<a href="https://agentmods.dev/skills/freestyler-arb/imagine-gemini-for-claude-codex/gemini-proxy"><img src="https://agentmods.dev/badge/skills/freestyler-arb/imagine-gemini-for-claude-codex/gemini-proxy/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/skills/freestyler-arb/imagine-gemini-for-claude-codex/gemini-proxy"><img src="https://agentmods.dev/badge/skills/freestyler-arb/imagine-gemini-for-claude-codex/gemini-proxy.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 | $0.00120 | $0.01457 |
| Opus 5 | $0.00060 | $0.00728 |
| Sonnet 5 | $0.00024 | $0.00291 |
| Haiku 4.5 | $0.00012 | $0.00146 |
Grade A, and why
gemini-proxy 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 11d 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 — 92 lines — stays where its author put it; the contents beside it link to each section on GitHub.
gemini-proxy
Overview
A prompt-polishing protocol. While active, each of your next N substantive prompts is first sent to
Gemini — a senior prompt engineer — which rewrites the operator's message into a sharper, more detailed
first-person version (still the operator's own message, not a standalone brief). The assistant then
answers that improved message with the full chat context, project rules, and memory — Gemini only
sharpens the wording, it does not replace the conversation. Trivial / config / meta prompts are skipped.
Self-disables after N. Control layer only: it calls nothing but the counter and the gemini wrapper.
Ground it first (the step that makes this good, not generic)
A rewrite with no project context is mediocre. Copy the shipped template into the project and fill it with the project's canon, safety invariants/guardrails, and standing expectations (the habits you want on every task — keep a tracker, finish work to the plan, use the right skills, get an independent review on risky/money changes, goal-drift check). Then Gemini rewrites WITH your project in mind.
cp <skill>/prompt-rules.template.txt ./.gemini-proxy-rules.txt # then edit: CANON / STANDING EXPECTATIONS / GUARDRAILS
Resolution order: $GEMINI_PROXY_RULES → ./.gemini-proxy-rules.txt → ./.claude/gemini-proxy-rules.txt → prompt-rules.template.txt.
The richer this file, the sharper and safer every rewrite — it's the highest-leverage thing you do here.
When to route vs skip (the smart filter)
Decide BEFORE calling Gemini. Bias to ROUTE for real work; SKIP only clear noise. Skipped prompts never spend the counter, so N = N routed prompts.
| ROUTE — counts as 1 of N | SKIP — no Gemini, no counter |
|---|---|
| build / fix / refactor / audit / design / research | greeting, thanks, yes/no, "status", "continue" |
| vague or large asks ("do all of this", "make it nice") | config / setup / preferences about how we work or this protocol |
| anything that benefits from a sharper brief | pure meta / diagnostic ("did you use Gemini?", "what did you mean?") |
What ships with it
6 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 11d ago First seen · 92 lines · 120 tokens per session scan A 3e98195179dd
gemini-proxy is a skill published in the GitHub repository freestyler-arb/imagine-gemini-for-claude-codex (4 stars, last pushed 2mo ago), licensed MIT. It adds 120 tokens to every session and 1,457 once invoked, about $0.0006 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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