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 render-carouselsgit 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/render-carousels)<a href="https://agentmods.dev/skills/indranilbanerjee/socialforge/render-carousels"><img src="https://agentmods.dev/badge/skills/indranilbanerjee/socialforge/render-carousels/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/render-carousels"><img src="https://agentmods.dev/badge/skills/indranilbanerjee/socialforge/render-carousels.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00027 | $0.00660 |
| Opus 5.5 | $0.00011 | $0.00264 |
| Sonnet 5.5 | $0.00005 | $0.00132 |
| Haiku 4.5 | $0.00003 | $0.00066 |
Grade A, and why
render-carousels 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 26d 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- render-carousels — 88% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 57 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/socialforge:render-carousels — Carousel Renderer
Produce multi-slide carousel images from HTML/CSS templates using Playwright headless rendering.
Supported Templates
Pass the key to render_carousel.py --template (argparse rejects anything outside this list; --list-templates prints it).
| Key | Slides | Best For | Template File |
|---|---|---|---|
| generic | 8 | General purpose | generic-8slide.html |
| comparison | 10 | Feature comparisons | comparison-10slide.html |
| case-study | 10 | Client success stories | case-study-10slide.html |
| tips | 5 | Quick tips | tips-5slide.html |
| playbook | 8 | Step-by-step playbooks | playbook-8slide.html |
| recap | 6 | Event/month recaps | recap-6slide.html |
| data | 6 | Data-driven infographics | data-infographic-6slide.html |
| quote | 1 | Single quote cards | quote-card-single.html |
Process
- Select template based on post's
carousel_type - For each slide:
- Inject content (title, body, data points, statistics)
- Apply brand colors via CSS variables (--brand-primary, --brand-secondary, etc.)
- Apply brand fonts
- If slide needs background image: compose an existing brand asset (free), or generate one via image-compositor: a generated background is a paid call, so it needs an approved quote first (compose-creative, "Quote, then go"), and the compositor refuses without one
- Render each slide via Playwright (headless Chromium → PNG, 1080x1080)
- Show first and last slide to user for approval
- Compile all slides into PDF (for LinkedIn document upload)
- Resize slides for other platforms if needed
Rules
- First slide = hook/title with brand identity
- Last slide = CTA with brand logo and contact info
- Max text per slide: 40 words (LinkedIn) | 25 words (Instagram)
- All slides use brand fonts and colors from brand-config.json
- Slide dimensions: 1080x1080 default (configurable per brand)
Scripts Used
- render_carousel.py — Playwright HTML→PNG rendering
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 26d ago Changed 296ea0556bfb
- 27d ago Changed · -60 tokens per session 453072edb563
- 1mo ago Changed · +2 lines 84e64784349f
- 2mo ago First seen · 55 lines · 87 tokens per session scan A f841d19bacda
render-carousels is a skill published in the GitHub repository indranilbanerjee/socialforge (43 stars, last pushed 6d ago), licensed MIT. It adds 27 tokens to every session and 660 once invoked, about $0.0001 per session on Opus 5.5. 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.
Other skills, from other repositories
create-short
Create a short-form vertical video (TikTok, Instagram Reels, YouTube Shorts). Optimized 9:16 pipeline with a live Studio preview, auto-captions, hook-first structure, and background music mood selection; renders to MP4 only when you ask.
create-video
Full video production pipeline — from a text prompt to a live Studio preview with voiceover, music, sound effects, stock footage, and motion graphics, rendered to MP4 when you ask. The flagship command of Remotion Superpowers.
review-video
Review a Remotion video with AI vision. Starts with a cheap local check of rendered still frames, then has TwelveLabs watch the full render and score it against a JSON rubric (pacing, composition, text legibility, audio sync and more) with timestamped fixes, applies the fixes and re-reviews. The feedback loop that…
add-captions
Add TikTok-style, karaoke, YouTube or minimal captions to your Remotion video. Gets word-level captions through the official remotion-captions flow (whisper-webgpu, or ElevenLabs Scribe via @remotion/elevenlabs when there's no GPU), or imports the user's SRT with parseSrt, places one official caption element per clip…
analyze-footage
Analyze existing video files with TwelveLabs AI. Get a timestamped scene map of your footage, ask questions about it, find specific moments across a library, and get the best clips with timestamps for Remotion.
generate-clip
Generate AI video clips for your Remotion project. Create unique footage from text descriptions or animate still images into video — no stock footage needed.