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Flow-Scanner/lightning-flow-scanner

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A Salesforce CLI plugin for analysis and optimization of Salesforce Flow. Scans metadata for 20+ issues such as hardcoded IDs, unsafe contexts, inefficient SOQL/DML operations, recursion risks, and missing fault handling. Supports auto-fixes, rule configurations, and CI/CD integration to help users maintain secure and reliable Flow automations.

active 2025-11-30 → 2026-08-30 (UTC)

Complete coverage27,422 / 27,422 hourly files (100%) · 2 absent upstream2023-08-15 → 2026-09-30 (UTC)
Events
340
Pushes
157
Pull requests
19
Issues
75
Stars
13
Forks
11

Activity over time

Daily event counts in the loaded window

Line chart, 274 days from 2025-11-30 to 2026-08-30. Pushes: 157 total, peak 11 in a day. Pull requests: 19 total, peak 8 in a day. Issues: 75 total, peak 33 in a day. Comments: 19 total, peak 2 in a day. Stars: 13 total, peak 2 in a day.

  • Pushes
  • Pull requests
  • Issues
  • Comments
  • Stars

Stars, PRs, issues and forks are under-captured in the later part of this window. GH Archive progressively stopped capturing non-push events during 2026 — −95% or worse by the end of the window. Every series here except Pushes fades for that reason, so a decline above reflects the archive, not this repository. Pushes stay reliable throughout, so read them, and the contributor counts derived from them, as the real signal. Data health has the measurements.

Top contributors

Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity

Recent activity

Latest issues, pull requests and releases

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 13 stars here means stars gained during the window, not the repo's star count.