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 SupercmoHQ/superCMO-skills --skill generating-ai-actorsgit clone --depth 1 https://github.com/SupercmoHQ/superCMO-skillsWrote 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/supercmohq/supercmo-skills/generating-ai-actors)<a href="https://agentmods.dev/skills/supercmohq/supercmo-skills/generating-ai-actors"><img src="https://agentmods.dev/badge/skills/supercmohq/supercmo-skills/generating-ai-actors/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/supercmohq/supercmo-skills/generating-ai-actors"><img src="https://agentmods.dev/badge/skills/supercmohq/supercmo-skills/generating-ai-actors.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00087 | $0.02094 |
| Opus 5 | $0.00044 | $0.01047 |
| Sonnet 5 | $0.00017 | $0.00419 |
| Haiku 4.5 | $0.00009 | $0.00209 |
Grade A, and why
generating-ai-actors 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 — 152 lines — stays where its author put it; the contents beside it link to each section on GitHub.
The actor
Generate an image of an AI actor.
Anything the brief specifies wins. The defaults below fill gaps only.
Workflow
Step 1: Cast the person
An adult, always. Fill a younger brief with an adult and say so.
Keep casual words for young people out of the prompt altogether, even where the person described is plainly an adult. They trip the image model's content filter and lose the generation.
Decide each of these deliberately rather than leaving it to the model, which returns the same face every time.
Who they are — gender, age, ethnicity, build. An age anywhere from early twenties to late sixties, a build anywhere from slight to athletic, broad or full.
How they look. This is what makes them recognisable when the image is reused, so it carries the most weight. Take the face feature by feature.
The examples below are a starting point, not the choices on offer. Reach past them, decide each line separately, and don't cast the same combination twice.
- Face shape, jaw and chin — oval, square, heart, long, round, diamond, oblong, pear, inverted triangle. The jaw strong and angular, or soft and tapered. The chin with a deep cleft or a subtle dimple.
- Cheekbones — high and sharp, soft and low, broad, prominent, sculpted, subtle and flushed, apple-cheeked, hollowed beneath, or slightly asymmetrical.
- Eyes, shape and set — almond, round, hooded, monolid, downturned, upturned, deep-set, wide-set, or close-set.
- Eyes, colour — emerald green, stormy grey, hazel with gold flecks, amber, pale ice blue, deep mahogany brown, heterochromia, violet-blue, moss green, or near-black.
- Eyebrows — thick and bushy, neatly arched, thin and straight, feathered and wild, bleached, dark and heavy, soft and sparse, subtly unibrowed, sharp and angular, or softly rounded.
- Nose, bridge and tip — straight, aquiline, upturned, wide and flat, snub, button, Roman, bulbous-tipped, or slightly crooked from a healed break.
- Mouth — full evenly, thin on top and full on the bottom, wide and generous, small and tight, a sharp Cupid's bow, a flat Cupid's bow, a resting smirk, downturned corners, slightly parted at rest, or soft and pillowy.
- Skin texture and tone — smooth and glass-like, visible pores, sun-weathered with deep crow's feet, scattered natural hyperpigmentation, subtle acne scarring, porcelain pale, rich deep bronze, rosy-cheeked, olive with gold undertones, or naturally dewy.
- Hair, colour — auburn, bright copper, honey blonde, icy platinum, salt-and-pepper, henna red, jet black, ash brown, silver-white, or a faded pastel wash.
- Hair, length and how it's worn — a military buzz crop, a jaw-length asymmetrical bob, a blunt shoulder cut, flowing past the waist, a shaved undercut, a messy top-knot, a slicked-back low bun, intricate protective braids, heavy blunt bangs, or a sweeping curtain fringe.
- Hair, texture — poker-straight, loose beachy waves, tight coiled ringlets, fine and flyaway, thick and heavy, coarse, silky, a soft frizzy halo, locs, or naturally bald.
- Facial hair — clean-shaven, a heavy five-o'clock shadow, a neatly trimmed goatee, a full thick beard, a pencil moustache, a handlebar moustache, a soul patch, scattered stubble, a sculpted chinstrap, or heavy mutton chops.
- Glasses — none, thick black acetate frames, thin round wire frames, rimless, browline frames, oversized geometric frames, tortoiseshell cat-eye, clear acrylic, vintage aviators, or subtly tinted lenses.
- Makeup — none at all, lip balm and brushed brows only, everyday concealer and mascara, sharp winged eyeliner, a bold matte red lip, a heavy smoky eye, graphic neon liner, fully contoured evening glam, a sheer lip tint, or faux freckles.
- One distinguishing feature, or none — freckles dusted across the nose, deep cheek dimples, a small silver septum piercing, a small scar through the eyebrow, a jagged scar on the chin, a gold tooth, a subtle neck tattoo, or a small nose stud. Never a mole or a beauty mark.
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 · 152 lines · 87 tokens per session scan A fea0109fc36b
generating-ai-actors is a skill published in the GitHub repository SupercmoHQ/superCMO-skills (38 stars, last pushed 14d ago), licensed Apache-2.0. It adds 87 tokens to every session and 2,094 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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