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 danielrosehill/Claude-Image-Production-Plugin --skill new-workflowgit clone --depth 1 https://github.com/danielrosehill/Claude-Image-Production-PluginWrote 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/danielrosehill/claude-image-production-plugin/new-workflow)<a href="https://agentmods.dev/skills/danielrosehill/claude-image-production-plugin/new-workflow"><img src="https://agentmods.dev/badge/skills/danielrosehill/claude-image-production-plugin/new-workflow/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/danielrosehill/claude-image-production-plugin/new-workflow"><img src="https://agentmods.dev/badge/skills/danielrosehill/claude-image-production-plugin/new-workflow.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 | $0.00088 | $0.01840 |
| Opus 5 | $0.00044 | $0.00920 |
| Sonnet 5 | $0.00018 | $0.00368 |
| Haiku 4.5 | $0.00009 | $0.00184 |
Grade A, and why
new-workflow scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 8d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
allowed-tools: Bash(cat *), Bash(test *), Bash(mkdir *), Bash(ls *), Bash(git *), Bash(date *), Bash(jq *), Bash(curl *), Read, Write, Edit How it starts
The opening of the file, as written. The whole thing — 137 lines — stays where its author put it; the contents beside it link to each section on GitHub.
New Image Workflow
Scaffold a structured, multi-stage image workflow inside the user's registered image workspace. Unlike new-project (a flat source/working/exports layout), a workflow expects iteration: generation, human review, revision, and export are explicit stages, each with their own folder and manifest entry.
Cloud AI (Fal nano-banana via the nano-tech-diagrams MCP) is wired in as an optional driver for the generation and revision stages.
When to use this vs. new-project
new-project— single batch of images, photo-editing style, no iteration loop.new-workflow— generative or hybrid work with multiple touchpoints: brief → references → generate → review → revise → export. Use when the user expects to come back to the project across several sessions and wants a stable structure to resume into.
Procedure
1. Resolve the workspace
CONFIG="${CLAUDE_USER_DATA:-${XDG_DATA_HOME:-$HOME/.local/share}/claude-plugins}/image-production/workspace.json"
test -f "$CONFIG" || { echo "No workspace registered — run workspace-setup first."; exit 1; }
WS=$(jq -r .path "$CONFIG")
2. Gather workflow metadata
Ask (or infer if obvious):
- Name — required. Slugify (lowercase, hyphens).
- Brief — one or two sentences describing the deliverable.
- Cloud-AI driver — default
fal-nano-banana(viamcp__jungle-shared__nano-tech-diagrams__*).noneif the user is bringing their own images. - Expected rounds — how many revision cycles to scaffold (default 3).
- Final aspect ratio / resolution — for export-stage placeholders.
3. Create the layout
PROJ="$WS/<slug>"
test -e "$PROJ" && { echo "Already exists: $PROJ"; exit 1; }
mkdir -p "$PROJ"/{01-brief,02-references,03-generation,04-review,05-revision,06-export,_manifest}
mkdir -p "$PROJ"/05-revision/round-{1..N} # N = expected rounds
| Stage | Purpose | Touchpoint? |
|---|---|---|
01-brief/ |
brief.md — goal, audience, constraints, do/don't list |
✓ user |
02-references/ |
Mood board, reference images, prompt fragments | ✓ user |
03-generation/ |
First-pass generations (Fal output lives here) | ai |
04-review/ |
Selected candidates from 03-generation/ + review notes |
✓ user |
05-revision/ |
Per-round subfolders with revised generations + notes | ai + user |
06-export/ |
Final deliverables — sized, formatted, metadata-scrubbed | ai |
_manifest/ |
workflow.json — pipeline state; prompts.md — running prompt log |
ai |
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 · 137 lines · 88 tokens per session scan A c522ff92a12a
new-workflow is a skill published in the GitHub repository danielrosehill/Claude-Image-Production-Plugin (16 stars, last pushed 22d ago), licensed MIT. It adds 88 tokens to every session and 1,840 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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