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/freespirits/social-auto-engine/reels-scriptingnpx skills add Freespirits/social-auto-engine --skill reels-scriptinggit clone --depth 1 https://github.com/Freespirits/social-auto-engineWrote 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/freespirits/social-auto-engine/reels-scripting)<a href="https://agentmods.dev/skills/freespirits/social-auto-engine/reels-scripting"><img src="https://agentmods.dev/badge/skills/freespirits/social-auto-engine/reels-scripting.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 | $0.00135 | $0.01713 |
| Opus 5 | $0.00068 | $0.00856 |
| Sonnet 5 | $0.00027 | $0.00343 |
| Haiku 4.5 | $0.00014 | $0.00171 |
Grade A, and why
reels-scripting 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.
This is a copy
100% identical to reels-scripting — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 202 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Reels Scripting
CRITICAL: Auto-start on load
When this skill triggers, go straight to Step 1. Do not summarise.
Prerequisites
This skill needs:
APIFY_API_TOKENenvironment variable (Instagram scraping)GOOGLE_AI_API_KEYenvironment variable (Gemini 2.5 Flash video analysis)- Node.js 18+ and the
apify-clientand@google/generative-aipackages
If either env var is missing, tell the user to run:
! export APIFY_API_TOKEN=your_token
! export GOOGLE_AI_API_KEY=your_key
Then stop until both are set.
Step 1. Get the reference
Ask:
Paste the reference Reel URL or Notion link. This is the outlier Reel you want to reverse-engineer the format from.
Wait for the URL.
If the user pastes a Notion link, follow it via WebFetch, locate the Instagram Reel URL on the page, and extract it. If no Reel URL is found on the Notion page, ask the user to paste the Reel URL directly.
Step 2. Get the newsletter topic
Ask:
What's the topic from your newsletter you want to repurpose into this Reel? Paste the relevant newsletter section, or type the core idea in a sentence.
Wait for the topic. Read newsletter-voice.md, voice.md, and about-me.md from the project if they exist, so the script matches the user's voice.
Step 3. Scrape and download the Reel
Create ~/Desktop/Reels/ if it does not exist. Write a Node.js script at ~/Desktop/Reels/analyse-reel.js that:
- Uses
apify-clientto callapify/instagram-reel-scraperwith{ directUrls: [reelUrl], resultsLimit: 1 }. If that returns no items, fall back to{ urls: [reelUrl], resultsLimit: 1 }, thenapify/instagram-scraperwith{ directUrls: [reelUrl], resultsType: 'posts', resultsLimit: 1 }. - Extracts
videoUrlfrom the returned item. - Downloads the video to
~/Desktop/Reels/downloads/{username}_{shortCode}.mp4. - Saves raw scrape data to
~/Desktop/Reels/reel_data_{shortCode}.json.
Run the script. Confirm file size and metadata (views, likes, comments, caption first 200 chars) before continuing.
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 · 202 lines · 135 tokens per session scan A 639f380857a0
reels-scripting is a skill published in the GitHub repository Freespirits/social-auto-engine (23 stars, last pushed 1mo ago), licensed MIT. It adds 135 tokens to every session and 1,713 once invoked, about $0.0007 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to reels-scripting, differing in 0 lines, and is treated as a copy.
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