qwwiwi/public-gbrain-agentos/instagram-superpower

Claude Code and agent skill by qwwiwi/public-gbrain-agentos

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Instagram analytics via Loore: top reels per account, watchlist of accounts to scan periodically, engagement scoring. Use when: (1) you need to analyze an Instagram account (followers, posts, top reels), (2) build a watchlist of competitors, (3) find the most-engaging reels of an account over a window of N days. Triggers: «analyze instagram account», «top reels», «watchlist», «engagement», Instagram profile URLs. NOT for: YouTube, Twitter, mass spam, auto-likes, auto-follows.

Install

npx vskill@latest install qwwiwi/public-gbrain-agentos/instagram-superpower

SKILL.md

instagram-superpower

Analytics for Instagram accounts using Loore (REST API, CLI and MCP server; paid per call). Docs: docs.loore.ai.

The download half of this skill (media files from Instagram CDN via a self-hosted Cobalt instance) was tightly coupled to a private VPS layout in the original codebase. It has been removed from this public distro. If you want it back, deploy your own Cobalt and wire its URL into your own script.

Setup

sh
export LOORE_API_KEY=<your-key>
# or keep it in a file (read by analyze.sh when the env var is unset):
mkdir -p ~/.secrets/loore
echo "<YOUR_LOORE_API_KEY>" > ~/.secrets/loore/api-key
chmod 600 ~/.secrets/loore/api-key

Get a key at loore.ai (Settings → API and MCP). One key works for REST and MCP (https://mcp.loore.ai/mcp).

Usage

Analyze a single account
sh
bash scripts/analyze.sh <username> [top_N] [days]
# Example:
bash scripts/analyze.sh someuser 5 14

Output: profile stats + top-N reels by engagement (views + likes*10) for the last N days, both human-readable and JSON.

Watchlist
sh
bash scripts/watchlist.sh list
bash scripts/watchlist.sh add <username>
bash scripts/watchlist.sh remove <username>
bash scripts/watchlist.sh scan [top_N] [days]

scan walks every account in ~/.secrets/cobalt/watchlist.json and calls analyze.sh on each with a 10-second pause between requests.

API calls & balance

analyze.sh calls the Loore REST API: POST https://mcp.loore.ai/v1/<method> with Authorization: Bearer $LOORE_API_KEY (methods ig-profile, ig-user-reels; the same tools are available over MCP as ig_profile, ig_user_reels). Other ig_* tools cover posts, comments, stories and more; analyze_reel returns a reel transcript.

sh
curl -X POST https://mcp.loore.ai/v1/ig-profile \
-H "Authorization: Bearer $LOORE_API_KEY" \
-H "Content-Type: application/json" \
-d '{"username":"@someuser"}'

Paid calls may return HTTP 428 with spend_authorization: approve the spend, then retry with the returned authorization id. The credit balance is printed at the end of analyze.sh output (billing-balance is a free call).

Omitted scripts

  • scripts/download.sh — required a private Cobalt VPS.
  • scripts/check-cookies.sh — same.
  • scripts/deploy-cookies.sh — same.
  • references/cookie-refresh.md — credential-rotation runbook for a private setup.

These are kept as stubs that exit 1, so existing references do not crash; replace with your own implementation if you need media download.

Security

  • Security scanPassed, 90 of 100Pattern checks on the skill's files.
  • Model reviewPassed

Quality evaluation

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Source

Popularity

Repository stars
9
Repository forks
11
7-day trend score
17

Stars and forks are for the whole GitHub repository, not this skill alone. Not refreshed yet.

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