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 palmier-io/palmier-skills --skill character-pipelinegit clone --depth 1 https://github.com/palmier-io/palmier-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/palmier-io/palmier-skills/character-pipeline)<a href="https://agentmods.dev/skills/palmier-io/palmier-skills/character-pipeline"><img src="https://agentmods.dev/badge/skills/palmier-io/palmier-skills/character-pipeline/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/palmier-io/palmier-skills/character-pipeline"><img src="https://agentmods.dev/badge/skills/palmier-io/palmier-skills/character-pipeline.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 | $0.00104 | $0.01414 |
| Opus 5 | $0.00052 | $0.00707 |
| Sonnet 5 | $0.00021 | $0.00283 |
| Haiku 4.5 | $0.00010 | $0.00141 |
Grade A, and why
character-pipeline 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 — 136 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Character Pipeline
This skill is stills-only. It builds reusable identity assets so the same person holds across plates and composites. If the user wants motion after that, hand off the approved scene still + sheets to video-prompting / cinematic-motion — do not own generate_video here.
Pipeline (hard order)
1. Hero still generate_image (or import_media / user photo)
2. Multi-angle sheet generate_image with referenceMediaRefs = [hero]
bust sheet default; optional full-body turnaround
3. Environment plate generate_image — empty set, locked camera/light
4. Scene placement generate_image: env plate + sheet (+ optional wardrobe)
5. Fidelity close-up optional generate_image or capture_frame from the scene still
Do not skip to scene placement without an approved sheet. Reroll stills until lighting and identity pass.
Session gates
get_timeline→canGeneratelist_models({ type: "image" })- Propose each paid generation; wait for confirmation
- Folders e.g.
Character/Hero,Character/Sheets,Character/Scenes
Model picks
Confirm via list_models:
| Step | Prefer |
|---|---|
| Hero / sheet / env / scene | grok-imagine, gpt-image-2, or seedream-v5-pro (photoreal trio) |
Prefer gpt-image-2 / seedream-v5-pro for any step that needs referenceMediaRefs if the current Grok build rejects refs. Trust each model's aspect/resolution enums from list_models.
Step 1 — Hero still
Clear identity plate. Prefer candid editorial over beauty-retouch.
Include: age/skin/hair/eyes/expression; simple stable wardrobe; repeatable light; skin texture preserved (pores — no smoothing).
Avoid: unrepeatable glam grade; extreme pose that fights the sheet; busy BG that leaks into identity.
If the user supplies a photo, import_media and skip generation.
Step 2 — Character sheet
generate_image with referenceMediaRefs: [heroMediaRef].
Head / bust sheet (default — identity lock)
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 · 136 lines · 104 tokens per session scan A 41851000b41a
character-pipeline is a skill published in the GitHub repository palmier-io/palmier-skills (66 stars, last pushed 11d ago), licensed Apache-2.0. It adds 104 tokens to every session and 1,414 once invoked, about $0.0005 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 2026-09-03.
Other skills, from other repositories
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
local-ai-agents
Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…
next-cache-components-adoption
Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…
chat-pet-sprite-creation
Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.
cpu-profile-analysis
Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…
insight-error-page
Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…