ENGINEERING

Weekly Slack digest of newly introduced dependency licenses

Once a week, compares this week's license inventory against last week's, and posts a Slack digest listing every newly introduced license type, which repos pulled it in, and flags…

CategoryEngineering
Enginesim
Difficultybeginner
Triggerschedule
Steps5
Setup~5 min

How it runs

The automated pipeline, trigger to output.

  • TriggerWeekly schedule
  • ActionRead current and prior week license snapshotsPostgreSQLPostgres
  • LogicDiff snapshots for newly introduced licenses
  • LogicClassify each new license by risk tier
  • OutputPost grouped license digest to SlackSlack

What it does

Gives engineering leadership a regular, readable pulse on license drift. On a weekly schedule it reads the current set of dependency licenses across repositories, diffs it against the prior week's snapshot, and posts a Slack message summarizing what's new: each freshly introduced license, the repos and packages responsible, and a prominent callout for anything copyleft or forbidden.

When to use it

Use it when you want lightweight visibility without opening a dashboard, or to keep a compliance channel informed week over week. It surfaces emerging risk early, before a formal audit, and keeps the whole team aware of what's entering the dependency tree.

How it works

  1. 1A weekly schedule triggers the digest.
  2. 2The flow reads the current week's license inventory from Postgres and the prior snapshot.
  3. 3It computes the set difference to find newly introduced license types and packages.
  4. 4A check classifies each new license as allowed, copyleft, or forbidden.
  5. 5It posts a formatted Slack digest grouping new licenses by risk, with policy breaches pinned at the top.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect PostgresAny Postgres URL — query, write, migrate.
  2. 2
    Connect SlackChannels, DMs, threads, mentions.
  3. 3
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  4. 4
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  5. 5
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

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