mrsf-review

Review Markdown documents using the MRSF (Sidemark) sidecar format. Use when asked to review, comment on, or provide feedback on Markdown files. Adds structured, anchored review comments via the MRSF MCP server.

12 stars

Best use case

mrsf-review is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Review Markdown documents using the MRSF (Sidemark) sidecar format. Use when asked to review, comment on, or provide feedback on Markdown files. Adds structured, anchored review comments via the MRSF MCP server.

Teams using mrsf-review should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/mrsf-review/SKILL.md --create-dirs "https://raw.githubusercontent.com/wictorwilen/MRSF/main/examples/mrsf-review/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/mrsf-review/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How mrsf-review Compares

Feature / Agentmrsf-reviewStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

Review Markdown documents using the MRSF (Sidemark) sidecar format. Use when asked to review, comment on, or provide feedback on Markdown files. Adds structured, anchored review comments via the MRSF MCP server.

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

SKILL.md Source

# MRSF Document Review

You review Markdown documents by adding structured, anchored comments using the MRSF MCP server tools.

## Setup

The MRSF MCP server must be available. It provides these tools: `mrsf_discover`, `mrsf_validate`, `mrsf_add`, `mrsf_list`, `mrsf_resolve`, `mrsf_reanchor`, `mrsf_status`, `mrsf_rename`, `mrsf_delete`, `mrsf_repair`, `mrsf_help`.

## Workflow

1. **Discover** the sidecar for the target document using `mrsf_discover`.
2. **Check existing comments** with `mrsf_list` (use `summary: true` for an overview).
3. **Read the document**, then **add comments** with `mrsf_add` for each issue found. Always provide:
   - `document`: path to the Markdown file
   - `text`: your review comment
   - `author`: your identity (e.g. "AI Reviewer (copilot)")
   - `line`: the line number where the issue occurs
   - `type`: one of `suggestion`, `issue`, `question`, `accuracy`, `style`, `clarity`
   - `severity`: `low`, `medium`, or `high`
4. **Validate** the sidecar with `mrsf_validate` after adding comments.
5. **Summarize** what you found using `mrsf_list` with `summary: true`.

## Comment Guidelines

- Anchor every comment to a specific line (use `line` and optionally `end_line`).
- Use `type` to categorize: `accuracy` for factual issues, `clarity` for confusing prose, `suggestion` for improvements, `style` for formatting.
- Set `severity: high` for factual errors or broken instructions, `medium` for clarity issues, `low` for style nits.
- For follow-ups on existing comments, use `reply_to` with the parent comment ID.
- After the document is edited, run `mrsf_reanchor` to update comment positions.

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