OpenMOSS is an operating system for teams of AI agents: it organizes agents into roles that plan, execute, review, and monitor work autonomously. It is for running recurring, multi-step tasks with little or no human coordination. The catalogue skills and agents extend the team’s abilities and workflows.
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 uluckyXH/OpenMOSS --skill antigravity-gemini-imagegit clone --depth 1 https://github.com/uluckyXH/OpenMOSSWrote 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/uluckyxh/openmoss/antigravity-gemini-image)<a href="https://agentmods.dev/skills/uluckyxh/openmoss/antigravity-gemini-image"><img src="https://agentmods.dev/badge/skills/uluckyxh/openmoss/antigravity-gemini-image/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/uluckyxh/openmoss/antigravity-gemini-image"><img src="https://agentmods.dev/badge/skills/uluckyxh/openmoss/antigravity-gemini-image.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 3 findings, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high Privilege Escalation · line 30 Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
- high Privilege Escalation · line 34 Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
- medium Rogue Agent · line 3 Skill establishes unauthorized persistence across sessions via cron jobs, startup scripts, or state files. Session persistence allows an attacker to maintain access beyond the current interaction.Fix: Remove any persistence mechanisms (cron jobs, startup scripts, state files). Skills should not maintain state across sessions without explicit user consent.
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 | $0.00062 | $0.00823 |
| Opus 5 | $0.00031 | $0.00411 |
| Sonnet 5 | $0.00012 | $0.00165 |
| Haiku 4.5 | $0.00006 | $0.00082 |
Grade A, and why
antigravity-gemini-image 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 — 73 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Antigravity Gemini Image
Overview
Use the Gemini REST endpoint (via the local gateway base URL) to create or edit images. This skill wraps the correct request format for the gemini-3.1-flash-image model, which does not work reliably with /v1/responses + image_generation.
Quick start
Text → Image
mkdir -p ~/.openclaw/workspace/tmp
/usr/bin/python3 {baseDir}/scripts/generate_gemini_image.py \
--prompt "A cute yellow chick mascot, vector style" \
--out ~/.openclaw/workspace/tmp/chick.jpg
Image → Image (edit)
mkdir -p ~/.openclaw/workspace/tmp
/usr/bin/python3 {baseDir}/scripts/generate_gemini_image.py \
--prompt "Add a tiny red scarf, keep the style" \
--image /path/to/input.jpg \
--out ~/.openclaw/workspace/tmp/chick_edit.jpg
Optional (explicit .env path):
/usr/bin/python3 {baseDir}/scripts/generate_gemini_image.py \
--env-file ~/.openclaw/workspace/.env \
--prompt "A cute yellow chick mascot, vector style" \
--out ~/.openclaw/workspace/tmp/chick.jpg
macOS Keychain (optional): service openclaw-local-160, accounts base-url and api-key.
Workflow (always follow)
- Confirm the prompt (and optional input image) with the user.
- Run the script in
scripts/generate_gemini_image.py. - Return the generated image file to the user.
Parameters
--prompt(required): text instruction.--image(optional): input image for edits.--out(required): output path (jpg/png).--env-file(optional): load a specific.envfile.--base-url(optional): defaults toLOCAL_160_BASE_URL.--api-key(optional): defaults toLOCAL_160_API_KEY.--model(optional): defaults togemini-3.1-flash-image.--temperature(optional): default 0.3.--size(optional): default 4K (set viaGEMINI_IMAGE_SIZE).--ratio(optional): default 16:9 (set viaGEMINI_IMAGE_RATIO).--timeout(optional): HTTP 超时（秒），默认 1200（也可用GEMINI_IMAGE_TIMEOUT或LOCAL_160_TIMEOUT）。
What ships with it
3 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 · 73 lines · 62 tokens per session scan A 61f555fa2ab7
antigravity-gemini-image is a skill published in the GitHub repository uluckyXH/OpenMOSS (1,323 stars, last pushed 2mo ago), licensed MIT. It adds 62 tokens to every session and 823 once invoked, about $0.0003 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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