image-gen skillA
image-gen is agent-read markdown (skill) from notque/vexjoy-agent: AI image generation: Gemini and Nano Banana backends; single/series/batch workflows with prompt-to-disk..
Indexed from public GitHub and served as immutable, content-addressed versions. Install it pinned to an exact SHA-256 with the mdr CLI, and every file is verified against the hash recorded here before it reaches your agent. The deterministic audit below grades the latest version, and the same file always earns the same grade.
What the file says
# image-gen
Backend-agnostic image generation: single images, series with anchor-chain consistency, batch pipelines. Two backends: Gemini (API) and Nano Banana (local scripts with post-processing).
## Deep References
| Signal | Load | Content |
|---|---|---|
| Gemini backend selected | `references/backends/gemini.md` | Models, env vars, flag table, examples, error codes |
| Nano Banana needed (post-processing, series, JSON batch, style-match) | `references/backends/nano-banana.md` | Subcommands, flags, aspect ratios, prompt patterns by asset type |
## Phase 1: Detect Backend
```bash
python3 skills/content/image-gen/scripts/detect-backend.py
```
- `gemini` -- load `references/backends/gemini.md`
- `ask` -- no key found; ask the user to set `GEMINI_API_KEY`
**Gate**: backend confirmed.
## Phase 2: Write Prompt Files
Write all prompts to disk before any API call. Prompt files are the generation record and anchor-chain input for series.
File naming: single `prompts/YYYY-MM-DD-{slug}.md`, series `prompts/{series-name}-01.md` through `-NN.md`.
```markdown
---
model: gemini-3-pro-image-preview
aspect-ratio: 1:1
flags: []
---
…Read the whole file at its exact version.
How to install
mdr add notque/vexjoy-agent/image-gen@git:20260919.28d30f9mdr add notque/vexjoy-agent/image-gen@sha256:a32cf71cba3ed7daPin to a label to follow the author's releases, or to a sha256 to freeze the exact bytes forever. Either way the resolved hash is written to mdr.lock, and mdr install reproduces it on any machine.
[](https://markdownregistry.com/a/art_ouflhcmt2v5ppjis)
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Versions
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20260919.28d30f9 latest | 2026-09-19 | 28d30f9 | 5,232 B | A | view · diff |
| git:20260705.380563c | 2026-07-05 | 380563c | 6,026 B | A | view · diff |
| git:20260701.526d880 | 2026-07-01 | 526d880 | 5,904 B | A | view · diff |
| git:20260531.8872a53 | 2026-05-31 | 8872a53 | 5,827 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 (5232 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
notque/vexjoy-agent · 424 stars · license MIT · pushed 2026-09-23 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_ouflhcmt2v5ppjis GET https://markdownregistry.com/api/v1/resolve?ref=notque/vexjoy-agent/image-gen GET https://markdownregistry.com/api/v1/blob/a32cf71cba3ed7dac6c5a24b9e77df022a4e36045be40d25fdf1a1572ef528b8
Your agent 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.
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