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/client-review)<a href="https://agentmods.dev/commands/indranilbanerjee/socialforge/client-review"><img src="https://agentmods.dev/badge/commands/indranilbanerjee/socialforge/client-review.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 | $0.00011 | $0.00113 |
| Opus 5 | $0.00005 | $0.00056 |
| Sonnet 5 | $0.00002 | $0.00023 |
| Haiku 4.5 | $0.00001 | $0.00011 |
Grade A, and why
client-review 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 7d 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
Client Review
Send internally-approved posts to the client for review.
Process
- Filter posts with status APPROVED_INTERNAL
- Build review package (gallery link or attached previews)
- Send via Slack (if connected) or email (if Gmail connected)
- Update status → PENDING_CLIENT for all sent posts
- Set reminder timer per approval-chain.json escalation rules
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.
- 7d ago First seen · 16 lines · 11 tokens per session scan A 9a21d10f599a
client-review is a command published in the GitHub repository indranilbanerjee/socialforge (36 stars, last pushed 20d ago), licensed MIT. It adds 11 tokens to every session and 113 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.
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.
video
Make a full video from an idea or a script - storyboard, voiceover, images, music, subtitles, render.
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.