OpenLoomi is an open-source desktop AI coworker that connects work tools, gathers context, and highlights decisions or actions needing attention. It is for people managing work across multiple apps, and its catalogue add-ons extend the resident desktop for agent frameworks such as Claude Code, Codex, OpenCode, Hermes, and OpenClaw.
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 melandlabs/openloomi --skill openloomi-lifestyle-imagegit clone --depth 1 https://github.com/melandlabs/openloomiWrote 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/melandlabs/openloomi/openloomi-lifestyle-image)<a href="https://agentmods.dev/skills/melandlabs/openloomi/openloomi-lifestyle-image"><img src="https://agentmods.dev/badge/skills/melandlabs/openloomi/openloomi-lifestyle-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/melandlabs/openloomi/openloomi-lifestyle-image"><img src="https://agentmods.dev/badge/skills/melandlabs/openloomi/openloomi-lifestyle-image.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 2 findings, up to medium
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 →
- medium Excessive Agency · line 21 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
- medium Excessive Agency · line 22 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
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 | $0.00086 | $0.00825 |
| Opus 5 | $0.00043 | $0.00413 |
| Sonnet 5 | $0.00017 | $0.00165 |
| Haiku 4.5 | $0.00009 | $0.00082 |
Grade A, and why
openloomi-lifestyle-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 12d 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 — 81 lines — stays where its author put it; the contents beside it link to each section on GitHub.
OpenLoomi Lifestyle Image
Purpose
Decide whether the user is asking to generate a lifestyle image through OpenLoomi's existing lifestyle image flow. This skill only judges intent and prepares a decision signal for the host app. Do not call image generation providers from this skill.
Decision
Return a lifestyle image generation decision only when the user clearly wants OpenLoomi to create or generate a lifestyle-oriented image.
Use matched: true when the request asks to generate, create, make, draw, design, render, or produce a lifestyle image, personal visual, avatar-like lifestyle scene, personal brand image, social profile visual, or life-scene image based on the user's profile, memory, interests, chat context, or uploaded reference image.
Use matched: false when the user is only asking to:
- Analyze, identify, describe, OCR, classify, or understand an uploaded image.
- Write or improve a prompt without asking to generate the image now.
- Edit an existing image without asking for lifestyle generation.
- Discuss image generation conceptually.
- Say not to generate an image, or says image generation is unnecessary.
- Ask an unrelated design, document, code, or chat question.
Reference Images
Set hasReferenceImage: true when the current user message includes an uploaded image that appears intended as style, subject, persona, or visual reference for generation.
Do not set matched: true only because an image was uploaded. If the user asks what the image shows, who the character is, or asks for image understanding, return matched: false.
If the user uploads a reference image and also asks to generate a lifestyle image from or inspired by it, return matched: true and hasReferenceImage: true.
Output Contract
When the host requests a structured decision, return only JSON with this shape:
{
"matched": true,
"confidence": "high",
"reason": "explicit_lifestyle_image_generation_request",
"hasReferenceImage": false,
"refinedPrompt": "optional concise generation intent"
}
What ships with it
1 file 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.
- 12d ago First seen · 81 lines · 86 tokens per session scan A a3cd09ec138c
openloomi-lifestyle-image is a skill published in the GitHub repository melandlabs/openloomi (1,025 stars, last pushed 12d ago), licensed Apache-2.0. It adds 86 tokens to every session and 825 once invoked, about $0.0004 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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