pr-comment-filter

Filter pull-request review comments to isolate actionable feedback from resolved threads.

1|Updated Mar 24, 2026

Search Tags:#automation #workflow #github #filtering #code-review #pull-request

Ready to run

npx skills add https://github.com/matteobortolazzo/cenci --skill pr-comment-filter

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: pr-comment-filter
Source: https://github.com/matteobortolazzo/cenci/tree/main/flow/skills/pr-comment-filter
Command: npx skills add https://github.com/matteobortolazzo/cenci --skill pr-comment-filter

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill eliminates the cognitive load of parsing through noisy pull-request discussions by automatically identifying which comments require actual developer attention and which are purely informational or resolved.

Core Features & Use Cases

Actionable Filtering: Distinguishes between genuine change requests and bot-generated or outdated comments.
Workflow Integration: Acts as the single source of truth for automated agents like address-review to determine if a PR session needs to continue or can be marked as quiet.
Use Case: When a PR receives dozens of automated bot notifications and resolved thread updates, this skill ensures the AI agent only focuses on the specific code suggestions that require manual intervention.

Quick Start

Apply the pr-comment-filter to the current pull request session to identify and isolate only the comments that require a code change or response.

Frequently Asked Questions about pr-comment-filter

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I filter noisy pull-request comments to isolate actionable code review feedback?▼

Filtering noisy pull-request comments to isolate actionable feedback is done by evaluating comment metadata and content against defined inclusion and exclusion criteria. This distinguishes genuine change requests from bot-generated or resolved threads.

What is the best way to automate ignoring resolved GitHub PR threads in a code review workflow?▼

Automating the process of ignoring resolved GitHub PR threads involves applying a filter that checks comment metadata to determine if a session requires further intervention. It ensures automated agents only focus on manual code suggestions.

Does this PR comment filter work with automated agents to determine if a review session can proceed to completion?▼

Yes, the PR comment filter works with automated agents by acting as the single source of truth to determine if a review session requires further intervention or can proceed to completion. It evaluates comments against specific criteria to prioritize tasks.

How do I separate bot-generated notifications from genuine change requests on a pull request?▼

Separating bot-generated notifications from genuine change requests on a pull request is achieved by filtering comment content and metadata. This actionable filtering ensures only comments requiring manual intervention are surfaced.

When do I need to filter pull-request review comments in an automated workflow?▼

You need to filter pull-request review comments in an automated workflow when a PR receives dozens of automated bot notifications and resolved thread updates. This ensures the AI agent only focuses on specific code suggestions requiring a change or response.