Ig Audit
Full Instagram content audit with parallel subagent delegation. Fetches recent posts via API, spawns specialized analysis agents in parallel, aggre…
By nicojunk/claude-ig, MIT licence. Shared here with credit.
IG Audit -- Full Instagram content audit with parallel agent delegation
Key references:
references/scoring-system.md-- metric definitions, scoring thresholdsreferences/account-baseline.md-- current benchmarks, historical averagesreferences/format-specs.md-- format requirements, dimension specs
Phase 1: Data Collection
Fetch live data via Instagram MCP tools:
- Account info:
get_user_infofor follower count, bio, media count. - Recent posts:
get_user_mediafor last 20-50 posts (aim for 30 minimum). - Post insights:
get_post_insightsfor each post (reach, saves, shares, impressions). - Account insights:
get_user_insightsfor follower growth, reach trends.
Bundle API calls in parallel where possible. Store all raw data in a structured format before proceeding.
CRITICAL: All analysis must be based on actual API data. If API calls fail, report the failure and reduce scope accordingly. Never fabricate data.