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 Ootto-AI/claude-content-skills --skill content-factorygit clone --depth 1 https://github.com/Ootto-AI/claude-content-skillsWrote 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/ootto-ai/claude-content-skills/content-factory)<a href="https://agentmods.dev/skills/ootto-ai/claude-content-skills/content-factory"><img src="https://agentmods.dev/badge/skills/ootto-ai/claude-content-skills/content-factory/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/ootto-ai/claude-content-skills/content-factory"><img src="https://agentmods.dev/badge/skills/ootto-ai/claude-content-skills/content-factory.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 | $0.00155 | $0.02138 |
| Opus 5 | $0.00077 | $0.01069 |
| Sonnet 5 | $0.00031 | $0.00428 |
| Haiku 4.5 | $0.00015 | $0.00214 |
Grade A, and why
content-factory 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 12d 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 — 133 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Content Factory — the whole setup, one command
This is exactly how the whole page gets made. One reel, idea → leads, then 3× a day. The Content Factory is the orchestrator: it runs the other skills in order so you get a finished, on-brand reel plus the lead loop — not just notes. Point it at a topic (and optionally a viral reel to model) and it drives the entire pipeline.
The individual skills each do one job. This one runs all of them, in sequence, and hands the output of each step to the next.
The pipeline (what runs, in order)
0. CONNECT onboarding .......... one-time: connect the Apify MCP (teardown) + the Composio MCP→Instagram
(post + DM), and make sure Remotion is available (render). Ask if missing.
1. MEMORY ai-brain ............. recall your voice + past winners (so it sounds like YOU)
2. FIND+STUDY Apify ............... tear a proven reel down frame-by-frame + transcript
3. HOOK viral-hook-writer .... 10 scroll-stopping hooks for the first 1–3s, ranked
4. SCRIPT reel-scripter ........ tight 30–45s ORIGINAL script — your words, the proven structure
5. BUILD+RENDER reel-builder + Remotion (+ Seedance via Runway) ... the REAL rendered mp4
6. CAPTION caption-and-hashtags . caption + tiered hashtags + a first comment built for saves
7. POST Composio ............ actually publishes to your Instagram (after your OK)
8. LEADS Composio ............ keyword rule LIVE — every comment → public reply + DM, 24/7
9. COMPOUND ai-brain ............. save what worked back to memory → the next reel starts smarter
This runs for REAL by calling the tools directly — it is a harness, not a description. The creative steps (3–6 script/hook/caption) are Claude; the execution steps use the underlying tools, no wrapper:
- Step 0 CONNECT (once, at onboarding): connect the Apify MCP (reel teardown/scraping) and the Composio MCP → Instagram (posting + comment/DM), and confirm Remotion is installed for rendering. If any of these is NOT connected, STOP and ASK the user to connect it (walk them through Apify, then Composio/Instagram) — never search for or reuse a key. This onboarding is what the whole loop depends on.
- Step 2 uses Apify to actually tear down the model reel.
- Step 5 renders the real mp4 with Remotion (+ Seedance via Runway for acting beats) — see reel-builder for the render harness.
- Step 7 uses Composio to actually publish to the user's Instagram (pause for their OK first).
- Step 8 uses Composio to wire the comment→DM lead loop so it fires live, 24/7.
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.
- 12d ago First seen · 133 lines · 155 tokens per session scan A 3ad0d2d41ad8
content-factory is a skill published in the GitHub repository Ootto-AI/claude-content-skills (30 stars, last pushed 20d ago), licensed MIT. It adds 155 tokens to every session and 2,138 once invoked, about $0.0008 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
scrapecreators-api
Scrape and extract public data from 27+ social media platforms using the ScrapeCreators REST API. Covers TikTok, Instagram, YouTube, LinkedIn, Facebook, Twitter/X, Reddit, Threads, Bluesky, Pinterest, Snapchat, Twitch, Kick, Truth Social, TikTok Shop, Google, and link-in-bio services (Linktree, Komi, Pillar, Linkbio…
outlier-post-finder
Use when the user wants to find posts, videos, reels, shorts, tweets, or social content that overperformed versus a creator, brand, or competitor baseline. Finds outliers, explains why they worked, extracts hooks and formats, and produces a practical swipe file.
ad-library-teardown
Use when the user wants to analyze active ads from Meta/Facebook, Google, or LinkedIn ad libraries; tear down a competitor's messaging; extract hooks, offers, CTAs, video transcripts, landing page claims, and test ideas from public ads.
comment-mining
Use when the user wants to mine comments and replies for audience reactions, customer language, questions, objections, complaints, product ideas, buying intent, sentiment, or voice-of-customer insights from public social posts and videos.
competitor-social-research
Use when the user wants to research competitors' social media strategy, compare brands or creators, find what content is working in a niche, identify content gaps, or produce a practical social strategy brief from public social data.
transcript-intelligence
Use when the user wants to summarize, analyze, or repurpose transcripts from TikTok, Instagram, YouTube, Facebook, X/Twitter, LinkedIn, Rumble, or Reddit video posts. Extracts hooks, claims, quotes, content atoms, themes, and reusable scripts.