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 agentmods add skills/indranilbanerjee/socialforge/compose-creativenpx skills add indranilbanerjee/socialforge --skill compose-creativegit 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/compose-creative)<a href="https://agentmods.dev/skills/indranilbanerjee/socialforge/compose-creative"><img src="https://agentmods.dev/badge/skills/indranilbanerjee/socialforge/compose-creative.svg" alt="Measured on agentmods" 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 | $0.00111 | $0.02524 |
| Opus 5 | $0.00056 | $0.01262 |
| Sonnet 5 | $0.00022 | $0.00505 |
| Haiku 4.5 | $0.00011 | $0.00252 |
Grade A, and why
compose-creative scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 5d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 221 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/socialforge:compose-creative — Creative Production Engine
The core production skill. Takes asset matching results and produces visual and video assets for each post according to its assigned creative mode, using a staged human-in-the-loop approval flow.
Context efficiency
Asset-heavy skill. Grep before Read the asset catalog (${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.
The 4 Creative Modes
MODE 1: ANCHOR_COMPOSE
Brand asset is the untouchable center. AI generates scene around it.
- Remove background from brand asset (rembg)
- Generate surrounding scene via AI using brand style references
- Composite asset onto generated scene (Pillow)
- Add shadow/reflection for natural placement
- Add text overlay + logo
- Resize per platform
MODE 2: ENHANCE_EXTEND
Brand asset is the foundation. AI modifies periphery only.
- Feed real image to AI edit endpoint
- AI extends/enhances while preserving core subject
- Verify core subject preservation
- Add overlay + resize
MODE 3: STYLE_REFERENCED
No brand asset composited. Style reference photos guide AI generation.
- Load 2-8 brand style reference images
- Construct 5-layer prompt (brand identity, post context, creative direction, image rules, technical)
- Feed references + prompt to AI generation
- Quality review — does output match brand DNA?
- Add overlay + resize
MODE 4: PURE_CREATIVE
Full AI generation with only text prompt + brand colors/mood.
- Construct prompt from brief + brand-config visual style
- Generate (text-only, no reference images)
- Quality review
- Add overlay + resize
Prerequisites
asset-matches.jsonmust exist (generated by/socialforge:match-assets-> match_assets.py)calendar-data.jsonmust exist (generated by/socialforge:parse-calendar)brand-config.jsonmust exist for active brandcost-log.jsoninitialized (via status_manager.py --action init-month)- Valid credentials for Gemini via Vertex AI (images) and WaveSpeed / Kling v3.0 (video) via credential_manager.py
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.
- 5d ago First seen · 221 lines · 111 tokens per session scan A 77b2da60f5dc
compose-creative is a skill published in the GitHub repository indranilbanerjee/socialforge (36 stars, last pushed 19d ago), licensed MIT. It adds 111 tokens to every session and 2,524 once invoked, about $0.0006 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.
Other skills, from other repositories
ai-media-generator
為使用者產生高品質的 AI 生圖、生影片、生音樂提示詞,並在需要時透過瀏覽器自動化實際送到目標平台。涵蓋 OiiOii、Kling 3.0/O-series、Seedance 2.0/2.5、Suno v5.5、Seedream 5.0/4.0、Vidu Q3、Midjourney V8.1、Flux 1.1 Pro / Kontext、Runway Gen-4.5 / Aleph、Google Veo 3.1、Ideogram 3、Nano Banana Pro、Stable Diffusion 3.5(⚠️ OpenAI Sora 2 已於 2026-04-26 停運,API 撐到 2026-09-24,預設改推…
demo-shorts
Cut a vertical 9:16 Short (YouTube Shorts, Instagram Reels, TikTok) from a demo video project in one of four named styles — listicle (rapid numbered beats), cohost (split screen with presenter), flashcard (typographic interstitials), or glide (immersive pan). Use when the user asks for a "short", "shorts", "vertical…
demo-video
Make a demo video of a piece of software: drive the app on screen while narrating what it does, generate an AI voiceover and optional on-camera presenter, and assemble everything into a finished MP4. Use when the user asks to "make a demo video", "record a demo", "create a product video", "show off this app", "make a…
demo-script
Writing the script and shot list for a demo video, and the demo.json manifest schema. Use when planning what a product video should say and show, writing voiceover narration, structuring scenes, or editing demo.json.
demo-assembly
Assembling and rendering a demo video with Remotion and ffmpeg — the timeline, transitions, captions, zoom-to-click, audio ducking, and diagnosing a render that comes out wrong. Use when rendering the final video, customising its look, or fixing timing, black frames or missing audio.
demo-capture
Craft and mechanics of capturing software on screen for a demo video — rehearsing a flow, staging a window, the action-script format, pacing to narration, and macOS permissions and coordinates. Use when recording an app, driving a UI for a video, debugging a capture that looks wrong, or when clicks land in the wrong…