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 Reedtrullz/codex-antigravity-auth --skill antigit clone --depth 1 https://github.com/Reedtrullz/codex-antigravity-authWrote 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/reedtrullz/codex-antigravity-auth/anti)<a href="https://agentmods.dev/skills/reedtrullz/codex-antigravity-auth/anti"><img src="https://agentmods.dev/badge/skills/reedtrullz/codex-antigravity-auth/anti/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/reedtrullz/codex-antigravity-auth/anti"><img src="https://agentmods.dev/badge/skills/reedtrullz/codex-antigravity-auth/anti.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 | $0.00000 | $0.08567 |
| Opus 5 | $0.00000 | $0.04283 |
| Sonnet 5 | $0.00000 | $0.01713 |
| Haiku 4.5 | $0.00000 | $0.00857 |
Grade A, and why
anti 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 3d 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 — 331 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Anti
Use this skill to ask the local codex-antigravity-auth gateway for an external Antigravity review, consult, deep work plan, named workflow preset, or bounded multi-model panel while native Codex remains the primary agent.
V3's primary product is native Claude in Codex through codex-antigravity setup; $anti is an optional helper for review and planning after the gateway and Codex model picker are already working.
Core Rule
Treat Antigravity output as a second opinion. Run the helper, read the result, then synthesize it with your own analysis before answering the user. Do not blindly forward the Antigravity result as final truth.
Literal @anti is a text convention in v1, not a guaranteed app-level mention chip. $anti is the reliable explicit skill invocation.
Panel, MoA, and Fusion workflows are advisory only. The helper can fan out to multiple gateway-advertised models and ask a judge model to synthesize their views, but Codex remains the acting agent and must verify findings before editing. Structured panel findings include a verify hint; run or inspect that local check before acting on the claim.
Models
- Use
opusfor deep review. It maps toclaude-opus-4-6-thinking(theclaude-opus-4-6name remains a compatibility alias). - Use
sonnetfor faster focused consults. It maps toclaude-sonnet-4-6(theclaude-3.5-sonnetname remains a compatibility alias). - Use
deepseek-v4-profordeepseek:deepseek-v4-proanddeepseek-v4-flashfordeepseek:deepseek-v4-flashthrough the official DeepSeek API key. - Use
flashforgemini-3.8-flash(current Gemini Flash generation), or useflash-low,flash-medium, andflash-highto select the thinking level. The explicitflash-3.8-low,flash-3.8-medium, andflash-3.8-highaliases are equivalent; the model has adjustable thinking levels and 1M context. - Use
flash-3.7forgemini-3.7-flash(supported Flash generation), or use the explicitgemini-3.7-flashID. - Use
flash-3.6for the retainedgemini-3.6-flash-*compatibility IDs. - Use
gemini-proforgemini-3.1-pro(Gemini Pro). Deep reasoning and analysis, 1M context. - Use
gpt-oss-120bforgpt-oss-120b-medium(text-only, 131K context). - Use
gemini-3.1-flash-imagefor image generation; it is image-only and does not support tools. - Use
nemotron-superforopenrouter:nvidia/nemotron-3-super-120b-a12b:free(120B MoE, 262K ctx). Fast, good for second opinions. - Use
nemotron-ultraforopenrouter:nvidia/nemotron-3-ultra-550b-a55b:free(550B, 1M ctx, vendor-reported). Large-context analysis and planning. - Use
nemotron-omniforopenrouter:nvidia/nemotron-3-nano-omni-30b-a3b-reasoning:free(30B MoE, 256K ctx, reasoning-capable, vision). Good for image tasks and reasoning. - Use
nemotron-vlforopenrouter:nvidia/nemotron-nano-12b-v2-vl:free(12B, 128K ctx, vision). Fast and reliable for image understanding — the default vision sidecar model. - Use
freeforopenrouter/free(auto-selects the best available free model on OpenRouter). Good for quick checks when you want zero-cost and don't care which model answers. - Use
poolsideforopenrouter:poolside/laguna-s-2.1:free. Coding-focused model for code generation and refactoring. - Use
gemma-4foropenrouter:google/gemma-4-31b-it:free(30.7B dense, 262K ctx, vision). Lightweight, fast for simple consults and image tasks. - Use
gpt-ossforollama:gpt-oss:20b(local). Private, offline inference. - Use
qwen3forollama:qwen3:8b(local). Private, offline inference. - Default review model:
opus. - Default plan model:
opus. - Default consult/ask model:
sonnet, unless the user asks for deep review. - Default panel models:
sonnetandopus. - Default panel judge:
opus. - Gateway advertisement is required. Every model below (including DeepSeek,
Nemotron, Poolside, and Gemma routes) must be advertised by the
gateway's
/v1/modelsbefore a call can succeed.smoke --check-documenteddiffs this documented table against the live catalog and reports drift (documented-but-unadvertised ids, plus double-prefixedopenrouter:openrouter/…catalog ids that upstream rejects). The helper also fuzzy-matches aliases against the catalog (e.g.openrouter:x≡openrouter:openrouter/x) and suggests the closest advertised id when a requested model is missing, so documented-but-drifted models fail with an actionable message instead of a confusing two-layer error.
What ships with it
11 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.
- agents/openai.yaml 357 B
- scripts/anti_lib/__init__.py 54 B runs code
- scripts/anti_lib/chunking.py 1.5 KB runs code
- scripts/anti_lib/context.py 282 B runs code
- scripts/anti_lib/ledger.py 482 B runs code
- scripts/anti_lib/redaction.py 8.4 KB runs code
- scripts/anti_lib/reflections.py 7.0 KB runs code
- scripts/anti_lib/runner.py 470 B runs code
- scripts/anti_lib/verifier.py 4.7 KB runs code
- scripts/anti.py 276 KB runs code
- tests/test_anti.py 181 KB runs code
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.
- 3d ago Changed · +3 lines c5171adb36ff
- 9d ago First seen · 328 lines · 0 tokens per session scan A 7c51c40143ff
anti is a skill published in the GitHub repository Reedtrullz/codex-antigravity-auth (2 stars, last pushed 4d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 8,567 tokens. 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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