post-review-comments

A command that turns findings from a code review file into comments on the related GitHub pull request, a proposed code change shared for review.

In plain words
What is it for?
It posts inline comments for findings with line information and regular pull-request comments for the rest.
Why use it?
It saves you from copying review findings into GitHub manually and places findings with line details directly beside the relevant code.

Command for Claude Code

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/microsoft/agent365-python/post-review-comments
Clone the repo
git clone --depth 1 https://github.com/microsoft/Agent365-python

Made for: Claude Code.

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 3,871 The whole file, excluding the scripts and references it only reads on demand.
Security scan B 1 finding. 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 $0.03871
Opus 5 $0.00000 $0.01936
Sonnet 5 $0.00000 $0.00774
Haiku 4.5 $0.00000 $0.00387

Measured yesterday against content hash 63a2960b4db4, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade B, and why

post-review-comments scanned grade B with 1 finding 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 yesterday.

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.

Asks for rootmediumPrivilege escalation

A mod that escalates privileges can change anything on the machine, not only the project.

sudo apt update && sudo apt install --only-upgrade gh -y
.claude/commands/post-review-comments.md · 471 lines

How it starts

The opening of the file, as written. The whole thing — 471 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Post Review Comments to GitHub

Post code review findings from a review file (generated by /review-pr) as comments on the associated GitHub pull request.

Usage

/post-review-comments [REVIEW_FILE_PATH]

Arguments:

  • REVIEW_FILE_PATH (optional) - Path to the review file. If omitted, uses the most recent review file in .codereviews/.

Examples:

  • /post-review-comments - Post comments from the most recent review
  • /post-review-comments .codereviews/claude-pr123-20260124_120000.md - Post from specific review file

Instructions

You are posting code review findings to GitHub as PR comments. Findings with exact line information will be posted as inline comments directly on the code. Findings without line info will be posted as regular PR comments.

Step 1: Locate and Parse the Review File

  1. If $ARGUMENTS is provided and non-empty, use that as the review file path

  2. Otherwise, find the most recent review file:

    ls -t .codereviews/claude-*.md 2>/dev/null | head -1
    

    On Windows, use PowerShell:

    (Get-ChildItem .codereviews/claude-*.md | Sort-Object LastWriteTime -Descending | Select-Object -First 1).FullName
    
  3. Read the review file completely

  4. Validate the review file:

    • Must contain "PR Number:" in the metadata section
    • If "PR Number:" is not found or is empty, inform the user this skill only works with PR reviews (not staged reviews) and exit
  5. Extract key information:

    • PR Number: Extract from the PR Number: field (e.g., #123 -> 123)
    • PR Title: Extract from PR Title: field
    • Approval Status: Extract from Final Status: field
    • HEAD Commit: Extract from HEAD Commit: field (required for inline comments)

Step 2: Parse Findings

Parse ALL findings from the review file. Findings are formatted as:

#### [CRM-XXX] Issue Title

| Field | Value |
|-------|-------|
| **Identified By** | `agent-name` |
| **File** | `path/to/file.py` |
| **Line(s)** | 42-58 |
| **Diff Line** | 47 |
| **Diff Side** | RIGHT |
| **Severity** | `medium` |
...

**Description:**
<description text>

**Diff Context:**
<code block>

**Suggestion:**
<suggestion text>

Read the full file on GitHub · 471 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. yesterday First seen · 471 lines · 0 tokens per session scan B 63a2960b4db4

Subscribe to this mod's changes

post-review-comments is a command published in the GitHub repository microsoft/Agent365-python (41 stars, last pushed 6d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 3,871 tokens. A static security scan graded it B with 1 finding (asks for root). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.