Argus PR Review

Version updated for https://github.com/sibinms/argus to version v1.2.4.

  • This action is used across all versions by ? repositories.

Action Type

This is a Composite action.

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Action Summary

Argus is a GitHub Action that automates the process of code reviews using AI. It runs multiple specialized AI reviewers in parallel, providing a more comprehensive view than relying on a single model. The action uses an evidence-based curator to verify findings before posting review comments on pull requests, ensuring only valid issues are highlighted. This approach helps in finding more real bugs while minimizing false positives.

What’s Changed

Pin the Action to this tag:

- uses: sibinms/argus@v1.2.4

What’s new since v1.2.3

Reviewing

  • Precision overhaul of the lenses and curator: a finding must now assert a real problem (not narrate a change), the contracts lens is scoped to genuine public/consumer-facing surfaces, and the curator can drop pure narration and mis-scoped-impact findings. Cut self-review noise dramatically.

Posting — the “moderator”

  • Idempotent posting: one rolling summary comment edited in place, each finding posted once (drift-proof fingerprint), addressed threads resolved, a hard max_inline_comments cap (default 10), and no new review when nothing changed — a PR can’t fill up with comments.
  • Inline comments only ever attach to lines in the diff (fixes 422 “line could not be resolved”).
  • Opt-in real approvals via approve_reviews (default off); falls back to a comment where the repo hasn’t enabled Actions approvals, so a clean PR never fails.

Providers

  • OpenRouter documented as a first-class provider (any litellm provider works: Anthropic, OpenAI, Gemini, OpenRouter, …).
  • Timeout on the LLM call; salvage JSON when a model wraps it in prose.

Docs & project

  • Branded, theme-aware architecture diagram in the README.
  • 62 tests; lint, type-check, security (Bandit + pip-audit + CodeQL) all green.

This entire release was reviewed and approved by Argus itself (PR #1).