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 adapt-copygit 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/adapt-copy)<a href="https://agentmods.dev/skills/indranilbanerjee/socialforge/adapt-copy"><img src="https://agentmods.dev/badge/skills/indranilbanerjee/socialforge/adapt-copy/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/adapt-copy"><img src="https://agentmods.dev/badge/skills/indranilbanerjee/socialforge/adapt-copy.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 | $0.00114 | $0.01044 |
| Opus 5 | $0.00057 | $0.00522 |
| Sonnet 5 | $0.00023 | $0.00209 |
| Haiku 4.5 | $0.00011 | $0.00104 |
Grade A, and why
adapt-copy scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 70 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/socialforge:adapt-copy — Copy Adapter
Transform a single caption brief into platform-optimized copy for each target platform.
Context efficiency
Asset-heavy skill. Grep before Read the asset catalog (${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.
Process (Per Post x Per Platform)
- Load post brief (topic, caption_brief, CTA, hashtags, campaign)
- Load brand-config.json (tone, hashtags, language settings)
- Load compliance-rules.json (banned phrases, disclaimers)
- For X/Twitter posts with live-source context, read the optional X/Twitter research intake note and use only reviewed evidence
- Generate platform-specific copy:
| Platform | Tone | Limit | Hashtags | Link |
|---|---|---|---|---|
| Professional | 3,000 chars (140 before fold) | 3-5 | Direct URL | |
| Conversational | 2,200 chars | 20-30 (first comment) | Link in bio | |
| X/Twitter | Punchy, concise | 280 chars | 1-2 | Direct URL |
| Casual | 500 chars optimal | 1-3 | Direct URL | |
| YouTube | Description format | 5,000 chars | 3-5 | Direct URLs |
| TikTok | Casual, trend-aware | 2,200 chars | 3-5 (trending + branded) | Link in bio |
| Threads | Conversational | 500 chars | 1-3 | Direct URL |
| Bluesky | Concise, community-first | 300 chars | 1-2 (via tag facets) | Direct URL |
- Apply brand hashtags (always_include + campaign-specific)
- Run compliance check - flag banned phrases, add disclaimers
- Handle bilingual posts if configured
- Save to
production/copy/post-{id}-{platform}-copy.txt
No significance markers. Never write a line whose only job is to announce that the next line matters: "here's the thing", "the thing is,", "here's the kicker", "here's where it gets interesting", "that's the part that got me", "let that sink in", "read that again". They read as machine-written, and on a 280-character platform they spend budget the point needs. Lead with the specific instead — "Approvals went from 14 days to 31" beats "Here's the thing about approval timelines". Same for stacked soft adverbs (honestly / genuinely / truly / literally / actually / basically): at most one per caption, never two in a sentence.
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 · 70 lines · 114 tokens per session scan A c6b311822197
adapt-copy is a skill published in the GitHub repository indranilbanerjee/socialforge (37 stars, last pushed 23d ago), licensed MIT. It adds 114 tokens to every session and 1,044 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
A workflow for turning ideas into prompts for AI-generated images, videos, and music across several media platforms. When needed, it can also send those prompts to the chosen platform through browser automation.
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-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…
higgsfield-comic-to-video
Animates comic panels, manga pages, webtoons, illustrated storyboards, and sequential art into video using Higgsfield. Routes to wan26 (primary, I2V — image required) or seedance20 (fallback). Use when the user wants to animate comics, bring illustrations to life, convert manga to video, animate storyboards, or create…