[SUBMISSION] wartzar-bee CI Cost Guardrail

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Assessment

Difficulty
2/5
Estimated time
1-3 hours
Newbie friendliness
68/100
Issue type
Documentation
Clarity
Mostly clear
Activity status
Quiet
Tech stack
github-actions
Domain
content

Research direction

Start by reviewing the submitted repository and Marketplace listing at the provided URL, then compare the Action with this list’s existing entries and inclusion guidelines. Done means the submission is either added to the appropriate list section with accurate details or its acceptance decision is recorded.

Written by the indexing model from the issue text.

Description

enhancement question
Title

wartzar-bee CI Cost Guardrail

Description

A GitHub Action that estimates a PR's token-cost delta for AI-agent/prompt code (HEAD vs base), comments on the responsible files, and can block the build when cost regresses past a configurable threshold (default 20%). Deterministic — powered by the @wartzar-bee/tokenscope CLI; no LLM call, no data leaves CI. Catches prompt/context bloat before it ships.

URL

https://github.com/wartzar-bee/ci-guardrail

Category

Continuous Code Optimization

Guidelines
  • Related to AI-powered automation for software collaboration — it guards the cost of AI-agent code in the PR loop.
  • Publicly accessible — repo and Marketplace listing both live, MIT.
  • Not already listed.
Note on scope

Being upfront: this Action does not itself invoke an LLM — it counts tokens deterministically for AI-generated/prompt code. I read that as in-scope for Continuous Code Optimization alongside the existing entries (and the list already carries non-AI helpers under Utilities), but it's your call, and a "no" is a perfectly fine answer.

Dominant language
No language data
Stars
492
Forks
32
PR merge metrics
No merged PRs in 30d

Contributor guide

Open the contributing guide

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

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