flowfile-run-and-operate

flowfile-run-and-operate is a Developer environment & CLI skill for AI agents, published by Edwardvaneechoud in the Flowfile repository on GitHub. Skillspace rates flowfile-run-and-operate D (62/100) and it passed the safety scan; the rating is based on static analysis only.

How to run and operate Flowfile — every `flowfile` CLI verb and flag, the three headless flow-execution paths (CLI/PyInstaller/scheduler), local-dev vs single-process vs Docker service startup, the on-disk storage map (flows, catalog Delta tables, DB, logs, secrets, master key), and the state-inspection runbook. Use when starting core/worker/UI, running a flow headlessly or on a schedule, asking "where does Flowfile store X on disk," debugging why a flow/schedule/run didn't produce output, choosing FLOWFILE_MODE or FLOWFILE_SINGLE_FILE_MODE, or importing `flowfile`/`flowfile_core` in a script and needing to avoid mutating the live catalog DB.

Grade
D
Quality
62 / 100
Safety
Passed
GitHub stars
330

Unproven: rated by static analysis only, not yet compared head-to-head.

Our two independent classifiers differ on this skill's category, so treat the placement as provisional.

This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.

Our review

Architecture
96 / 100
Maturity
Basic: a single SKILL.md
Security scan
Low-risk patterns
License
MIT
Adoption
Adopted by 0 other repositories, in 0 collections

What the scanner flagged

  • mentions secrets in text

Not checked yet

  • Not judged on the rubric yet (not a contender in its category)
  • No blind task eval yet
  • Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
  • Sibling files (scripts, references) not fetched; security scan covers SKILL.md only

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