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 indranilbanerjee/socialforge --skill index-assetsgit clone --depth 1 https://github.com/indranilbanerjee/socialforgeWrote 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/indranilbanerjee/socialforge/index-assets)<a href="https://agentmods.dev/skills/indranilbanerjee/socialforge/index-assets"><img src="https://agentmods.dev/badge/skills/indranilbanerjee/socialforge/index-assets/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/indranilbanerjee/socialforge/index-assets"><img src="https://agentmods.dev/badge/skills/indranilbanerjee/socialforge/index-assets.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 | $0.00089 | $0.01097 |
| Opus 5 | $0.00044 | $0.00549 |
| Sonnet 5 | $0.00018 | $0.00219 |
| Haiku 4.5 | $0.00009 | $0.00110 |
Grade A, and why
index-assets scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 99 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/socialforge:index-assets — Asset Indexer
Scan a brand's photo library and create an AI-powered asset index. Each image is analyzed by Gemini Vision to understand what's in it, what mood it conveys, what posts it's suitable for, and how it can be cropped for different platforms.
Context efficiency
Asset-heavy skill. Grep before Read the asset catalog (${CLAUDE_PLUGIN_DATA}/socialforge/brands/<brand>/asset-index.json) — never list the asset directory. Reference generated images / videos by path, not by loading metadata. Brand profile loads once per session.
How It Works
- Locate assets — Read asset-source.json for the brand's photo library location
- Scan files — Find all .jpg, .jpeg, .png, .webp files in the source
- AI analysis — For each image, use Gemini Vision (the registry alias
latest-vision-google) to generate:- Natural language description of the image
- Tags (categories, subjects, setting, mood)
- Dominant colors detected
- Lighting and composition assessment
- What types of social media posts this image suits
- Whether background is removable (for compositing)
- Platform crop feasibility (can this be cropped to 1:1, 4:5, 16:9 without losing key content?)
- Build index — Create asset-index.json with all analyzed assets
- Identify style references — Suggest 2-8 images as style reference candidates (best represent the brand's visual DNA)
Pre-Flight Check
Before indexing, verify:
- Brand profile exists for the specified brand
- Asset source is configured (Google Drive URL or local path)
- If Google Drive: verify Drive MCP is connected or platform integration is available
If asset source is not configured:
⚠️ No asset source configured for brand "{brand}".
Run /socialforge:brand-setup {brand} --update to add an asset source.
Or provide a path now: /socialforge:index-assets {brand} --source /path/to/photos
Progress Updates
[1/4] Scanning asset source...
Found: 47 images (32 .jpg, 12 .png, 3 .webp)
[2/4] Analyzing images with AI Vision...
Analyzed: 12/47 (25%) — ~3 min remaining
Analyzed: 24/47 (51%) — ~2 min remaining
Analyzed: 47/47 (100%) ✓
[3/4] Building asset index...
Tags generated: 184 unique tags across 47 assets
Platform crops: 47 images × 6 platforms = 282 crop assessments
[4/4] Identifying style reference candidates...
Top 8 candidates selected based on visual consistency and quality
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.
- 12d ago First seen · 99 lines · 89 tokens per session scan A a30a5cfba4a9
index-assets is a skill published in the GitHub repository indranilbanerjee/socialforge (38 stars, last pushed 26d ago), licensed MIT. It adds 89 tokens to every session and 1,097 once invoked, about $0.0004 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 2026-08-30.
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