check-feedback

check-feedback is a command for coding agents from dmzoneill/redhat-ai-workflow. It costs 0 tokens per session (733 once invoked), scanned A, original, Apache-2.0.

A command for checking your open GitLab Merge Requests, which are proposed code changes, for comments that need your reply.

In plain words
What is it for?
Finding unanswered review comments on your open Merge Requests.
Why use it?
It saves you from opening each request and searching through its discussion manually.

Command

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add commands/dmzoneill/redhat-ai-workflow/check-feedback
Clone the repo
git clone --depth 1 https://github.com/dmzoneill/redhat-ai-workflow

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for check-feedback

README.md
[![agentmods](https://agentmods.dev/badge/commands/dmzoneill/redhat-ai-workflow/check-feedback.svg)](https://agentmods.dev/commands/dmzoneill/redhat-ai-workflow/check-feedback)
Your own site
<a href="https://agentmods.dev/commands/dmzoneill/redhat-ai-workflow/check-feedback"><img src="https://agentmods.dev/badge/commands/dmzoneill/redhat-ai-workflow/check-feedback.svg" alt="Measured on agentmods" height="20"></a>
Per session 0 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 733 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5 $0.00000 $0.00733
Opus 5 $0.00000 $0.00367
Sonnet 5 $0.00000 $0.00147
Haiku 4.5 $0.00000 $0.00073

Measured 4d ago against content hash b63c165fb535, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

check-feedback scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 4d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

docs/commands/check-feedback.md · 107 lines

How it starts

The opening of the file, as written. The whole thing — 107 lines — stays where its author put it; the contents beside it link to each section on GitHub.

/check-feedback

Check your open Merge Requests for comments awaiting your response.

Overview

Check your open Merge Requests for comments awaiting your response.

Underlying Skill: check_mr_feedback

This command is a wrapper that calls the check_mr_feedback skill. For detailed process information, see skills/check_mr_feedback.md.

Arguments

No arguments required.

Usage

Examples

skill_run("check_mr_feedback", '{}')
cd ~/src/automation-analytics-backend
for mr in $(glab mr list --author=@me -R automation-analytics/automation-analytics-backend | grep -oP '!\d+' | tr -d '!'); do
  echo "=== MR !$mr ==="
  glab mr view $mr --comments | grep -A5 -E "^[a-zA-Z].*commented" | grep -v "group_10571_bot\|Konflux\|Starting Pipelinerun"
done
google_calendar_quick_meeting(
  title="MR !1445 Race Condition Discussion",
  attendee_email="[email protected]",
  when="tomorrow 10:00",
  duration_minutes=30
)

Process Flow

This command invokes the check_mr_feedback skill. The process flow is:

flowchart LR
    START([User runs /check-feedback]) --> VALIDATE[Validate Arguments]
    VALIDATE --> CALL[Call check_mr_feedback skill]
    CALL --> EXECUTE[Execute Skill Steps]
    EXECUTE --> RESULT[Return Result]
    RESULT --> END([Complete])

    style START fill:#6366f1,stroke:#4f46e5,color:#fff
    style END fill:#10b981,stroke:#059669,color:#fff
    style CALL fill:#3b82f6,stroke:#2563eb,color:#fff
```text

For detailed step-by-step process, see the [check_mr_feedback skill documentation](../skills/check_mr_feedback.md).

## Details

## Instructions

Run the check_mr_feedback skill to scan your open MRs for:
- Human reviewer comments (filters out bot/CI comments)
- Meeting requests
- Code change requests
- Questions requiring answers

```text
skill_run("check_mr_feedback", '{}')

Or run manually with glab:

cd ~/src/automation-analytics-backend
for mr in $(glab mr list --author=@me -R automation-analytics/automation-analytics-backend | grep -oP '!\d+' | tr -d '!'); do
  echo "=== MR !$mr ==="
  glab mr view $mr --comments | grep -A5 -E "^[a-zA-Z].*commented" | grep -v "group_10571_bot\|Konflux\|Starting Pipelinerun"
done
```text

Read the full file on GitHub · 107 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 4d ago First seen · 107 lines · 0 tokens per session scan A b63c165fb535

Subscribe to this mod's changes

check-feedback is a command published in the GitHub repository dmzoneill/redhat-ai-workflow (5 stars, last pushed yesterday), licensed Apache-2.0. It costs nothing until one of its globs matches a file; then it loads 733 tokens. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.