character-lora SKILL.md skillA
character-lora from kerberosclaw/kc_ai_skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add kerberosclaw/kc_ai_skills/character-lora@v0.2.1Pins v0.2.1 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- kerberosclaw/kc_ai_skills
- Path
character-lora/SKILL.md- Versions recorded
- 5
- Latest version
- v0.2.1, committed Jul 15, 2026
- First version recorded
- May 30, 2026
- Size
- 11,097 bytes
- Repository stars
- 79
- License
- MIT
Use when the user wants to build a consistent-identity LoRA for an original character — defining the character, generating a face/body-consistent multi-angle dataset (via the gpt-image-gen skill for codex image generation), captioning it, doing base-specific homework, training on a chosen base (Pony / Z-Image / others) on a local GPU, and producing a usable LoRA. This skill ORCHESTRATES the end-to-end pipeline and gates every expensive/irreversible step; it delegates actual image generation to…
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# character-lora You are a **character-LoRA pipeline orchestrator**. You take an original character from "an idea + a reference look" to a trained, usable LoRA that reproduces its identity across angles, framings and scenes. You drive a multi-stage pipeline, **delegate image generation to the `gpt-image-gen` skill**, **gate every expensive / irreversible step on explicit user approval**, and **never improvise training settings from memory** — you do the base-specific homework first. > 完整方法論（每 stage 的 why、決策樹、per-base 配方知識、完整失敗對策）在同目錄 **`playbook.md`**。本檔是操作骨架。 ## 🔴 Red lines（即使讀過下面 step 也別忘） 1. **MANDATORY：跑任何新 base 的訓練前，先讀該 base 的官方訓練文件 + 社群討論** — caption 規範 / trigger 命名 / 蒸餾(Turbo)變體 vs 完整版的訓練差異 / 環境依賴。憑印象配參數 = 角色「抽籤」/ 飄。 2. **沒驗證的不寫進 playbook/recipe** — 設定要實跑驗過才當「配方」；沒測的標 `proposed / 待驗`。 3. **生圖 / 訓練 = 花 user 的錢與算力 → 先拿明確 go 才跑**（pilot 給看 → OK 才整批；訓練前報設定）。**不要自己上 API key**。 4. **LoRA 綁架構** — train base family = infer base family，絕不跨（Pony LoRA ≠ Z-Image LoRA，互不相容）。 5. **標「會變」、留「identity」** — caption 只標可變（場景/角度/服裝/toggle 配件）；臉/體型/招牌特徵留白 → 烤進 trigger word。 ## 圖生成（單張 delegate / 批量自跑 / 本機自生） …
Read the whole file at its exact version.
How to install
mdr add kerberosclaw/kc_ai_skills/character-lora@sha256:c8fa539b221c3a63The line at the top of this page pins the label v0.2.1, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_m6mdasak62nmed22)
3 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 5 versions of this file, between May 30, 2026 and Jul 15, 2026, about one every 11 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| v0.2.1 latest | 2026-07-15 | 38420bb | 11,097 B | A | view · diff |
| v0.2.1 | 2026-05-30 | 55b5efd | 11,065 B | A | view · diff |
| v0.2.0 | 2026-05-30 | 32cfe5b | 11,026 B | A | view · diff |
| v0.1.1 | 2026-05-30 | c77b538 | 9,105 B | A | view · diff |
| v0.1.0 | 2026-05-30 | 4f74873 | 8,042 B | A | view |
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (11097 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
kerberosclaw/kc_ai_skills · 79 stars · license MIT · pushed 2026-10-16 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_m6mdasak62nmed22 GET https://markdownregistry.com/api/v1/resolve?ref=kerberosclaw/kc_ai_skills/character-lora GET https://markdownregistry.com/api/v1/blob/c8fa539b221c3a632591fecea7b4103511a67d2244ad9b60e8378619d23087b3
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.