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 acnlabs/OpenPersona --skill selfiegit clone --depth 1 https://github.com/acnlabs/OpenPersonaWrote 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/acnlabs/openpersona/selfie)<a href="https://agentmods.dev/skills/acnlabs/openpersona/selfie"><img src="https://agentmods.dev/badge/skills/acnlabs/openpersona/selfie.svg" alt="Measured on agentmods" 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 | $0.01504 |
| Opus 5 | $0.00000 | $0.00752 |
| Sonnet 5 | $0.00000 | $0.00301 |
| Haiku 4.5 | $0.00000 | $0.00150 |
Grade A, and why
selfie scanned grade A with 1 finding 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 7d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -s -X POST "https://fal.run/xai/grok-imagine-image/edit" \ How it starts
The opening of the file, as written. The whole thing — 152 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Selfie Skill — Expression
Generate selfie images using xAI's Grok Imagine model and optionally send them to messaging platforms via OpenClaw. Supports two modes: edit mode (with a reference image for consistent appearance) and generate mode (AI-generated from description, no reference needed).
When to Use
- User says "send a selfie", "send me a pic", "take a photo", "show me a photo"
- User says "send a pic of you...", "send a selfie of you..."
- User asks "what are you doing?", "where are you?", "how are you?" (respond visually)
- User describes a context: "send a pic wearing...", "show me you at..."
- User wants you to appear in a specific outfit, location, or situation
Step-by-Step Workflow
Step 1: Determine the Mode — Edit or Generate
Check for a reference image in this order:
- Local file:
assets/reference/avatar.png(relative to your skill pack root) referenceImageURL from persona.json
If a reference image exists → use Edit Mode (consistent appearance based on reference) If no reference image → use Generate Mode (AI creates from persona description)
Step 2: Select Selfie Style (auto-detect or explicit)
| Keywords in User Request | Style | Best For |
|---|---|---|
| outfit, wearing, clothes, dress, suit, fashion, full-body, mirror | mirror | Full-body shots, outfit showcases |
| cafe, restaurant, beach, park, city, sunset, night, street | direct | Close-up portraits, location shots |
| close-up, portrait, face, eyes, smile | direct | Emotional expressions |
| (default when no keyword matches) | mirror | General selfie |
Step 3: Build the Prompt
Edit Mode (has reference image)
Mirror style:
make a pic of this person, but [user's context]. the person is taking a mirror selfie
Direct style:
a close-up selfie taken by herself at [user's context], direct eye contact with the camera, looking straight into the lens, eyes centered and clearly visible, not a mirror selfie, phone held at arm's length, face fully visible
What ships with it
2 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.
- 7d ago First seen · 152 lines · 0 tokens per session scan A 4aca80c61a3c
selfie is a skill published in the GitHub repository acnlabs/OpenPersona (49 stars, last pushed 26d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 1,504 tokens. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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