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 ur-grue/autopunk-media-skills --skill character-consistency-promptgit clone --depth 1 https://github.com/ur-grue/autopunk-media-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/ur-grue/autopunk-media-skills/character-consistency-prompt)<a href="https://agentmods.dev/skills/ur-grue/autopunk-media-skills/character-consistency-prompt"><img src="https://agentmods.dev/badge/skills/ur-grue/autopunk-media-skills/character-consistency-prompt/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/ur-grue/autopunk-media-skills/character-consistency-prompt"><img src="https://agentmods.dev/badge/skills/ur-grue/autopunk-media-skills/character-consistency-prompt.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 | $0.00051 | $0.02136 |
| Opus 5 | $0.00026 | $0.01068 |
| Sonnet 5 | $0.00010 | $0.00427 |
| Haiku 4.5 | $0.00005 | $0.00214 |
Grade A, and why
character-consistency-prompt 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 8d 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 — 143 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Character Consistency Prompt
What This Skill Does
Writes a set of Midjourney prompts designed to maintain consistent character appearance — face, build, clothing, and presence — across multiple generated images for use in editorial series, podcast artwork, YouTube thumbnails, or visual narratives.
When To Use This Skill
- You are creating a series of images that all feature the same fictional character (for a podcast cover, YouTube series, editorial illustration run)
- You need a character to appear in multiple different scenes or contexts without changing their appearance
- You are illustrating a newsletter, blog, or social media series with a recurring visual persona
- You have already generated a character you like and want to generate additional images of the same person in new situations
What You Need To Provide
Required:
- A detailed description of the character: apparent age, gender presentation, build, distinctive physical features (hair, facial features, any identifying marks or accessories)
- The character's typical clothing or visual identity
- The style you want the images to be in (photorealistic, illustrated, graphic, painterly)
Optional:
- A reference image description (if you have already generated a version of this character you want to match)
- The scenes or situations you need them depicted in (list the images you need)
- Midjourney version (v6 has better face consistency than earlier versions; --cref flag is available in v6 for image-based character reference)
- Aspect ratio for intended use
- Any seed number from a prior successful generation
How the Assistant Approaches This
- Builds a dense, precise character anchor string — a consistent block of descriptive text that will be used verbatim in every prompt in the set, covering the character's appearance in enough detail that Midjourney has minimal room for variation
- Identifies the key consistency anchors: face structure, hair, signature clothing item or accessory — these are what must appear in every image
- Writes a base prompt for the first image, then generates scene-specific prompts that keep the character anchor string identical and vary only the environment, action, and lighting
- Recommends the
--seedworkflow: generate the first image, note the seed number from the Job ID, and use--seed [number]in subsequent prompts to bias toward the same character rendering - If Midjourney v6 is being used, notes where the
--cref [image URL]flag should be inserted to use an existing character image as a visual reference - Closes with a "Next Step" note: which prompt to run first (always the base portrait), how to record the seed number after the first generation, and whether to run cinematic-shot-prompt if the character also needs to appear in more complex scene compositions
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.
- 8d ago First seen · 143 lines · 51 tokens per session scan A acdfdeec410d
character-consistency-prompt is a skill published in the GitHub repository ur-grue/autopunk-media-skills (32 stars, last pushed 12d ago), licensed MIT. It adds 51 tokens to every session and 2,136 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 2026-09-04.
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