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.
git 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/commands/indranilbanerjee/socialforge/new-month)<a href="https://agentmods.dev/commands/indranilbanerjee/socialforge/new-month"><img src="https://agentmods.dev/badge/commands/indranilbanerjee/socialforge/new-month/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/commands/indranilbanerjee/socialforge/new-month"><img src="https://agentmods.dev/badge/commands/indranilbanerjee/socialforge/new-month.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 | $0.00011 | $0.00295 |
| Opus 5 | $0.00005 | $0.00148 |
| Sonnet 5 | $0.00002 | $0.00059 |
| Haiku 4.5 | $0.00001 | $0.00030 |
Grade A, and why
new-month 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 9d 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.
What it actually says
New Month
Start monthly content calendar production. Initializes the output directory, loads brand config, and begins the production pipeline.
Steps
- Verify brand profile exists and is complete (pre-flight validation)
- Create output directory:
${CLAUDE_PLUGIN_DATA}/socialforge/output/{brand}/{YYYY-MM}/(falls back to~/socialforge-workspace/output/{brand}/{YYYY-MM}/when${CLAUDE_PLUGIN_DATA}is unset) - Initialize status-tracker.json and cost-log.json
- Ask for calendar source:
- DOCX — Upload a Word document with the monthly calendar
- XLSX — Upload an Excel spreadsheet (one row per post)
- Notion — Provide Notion database URL (requires Notion connector)
- Structured text — Paste or describe the calendar content
- Parse calendar →
/socialforge:parse-calendar - Match assets →
/socialforge:match-assets - Show production plan and estimated API costs
- Begin creative production on approval
After Initialization
"Calendar loaded with {N} posts. Ready to generate creative. Run /socialforge:generate-all to produce all posts, or /socialforge:generate-post P01 for a single post."
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.
- 9d ago First seen · 26 lines · 11 tokens per session scan A e6af092c5d19
new-month is a command published in the GitHub repository indranilbanerjee/socialforge (37 stars, last pushed 22d ago), licensed MIT. It adds 11 tokens to every session and 295 once invoked, about $0.0001 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 commands, from other repositories
setup
Set up PromptCut - installs deps (pip, ffmpeg), checks keys, CapCut folder.
add-captions
Generate TikTok-style animated captions for your Remotion video. Transcribes audio with Whisper, then creates word-by-word animated subtitles with customizable position, colors, and style.
add-transitions
Add professional scene transitions to your Remotion video. Choose from fade, slide, wipe, flip, clock-wipe and more — with spring physics or linear timing.
create-short
Create a short-form vertical video (TikTok, Instagram Reels, YouTube Shorts). Optimized 9:16 pipeline with auto-captions, hook-first structure, and background music mood selection.
create-video
Full video production pipeline — from a text prompt to a rendered MP4 with voiceover, music, sound effects, stock footage, and motion graphics. The flagship command of Remotion Superpowers.
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.