simon-md-reviewer

simon-md-reviewer is a skill for Claude Code, Codex from SW-in-beta/simon-skills. It costs 168 tokens per session (3,590 once invoked), scanned A, original, MIT.

A review loop for Markdown files, the plain-text documents used for notes and documentation. It opens the file in Orca when run from an Orca terminal, or in Obsidian otherwise, so you can leave comments while the agent updates the document.

In plain words
What is it for?
Use it to review or revise an existing Markdown file, or to inspect a Markdown document created during the session. It supports Orca inline notes and Obsidian %%comments%%, depending on the environment.
Why use it?
It keeps review feedback and document edits in one repeating workflow. The file reloads when the agent changes it, so you can check revisions without manually reopening it.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to review or revise an existing Markdown file, or to inspect a Markdown document created during the session. It supports Orca inline notes and Obsidian %%comments%%, depending on the environment.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/sw-in-beta/simon-skills/simon-md-reviewer
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.

Any agent
npx skills add SW-in-beta/simon-skills --skill simon-md-reviewer
Clone the repo
git clone --depth 1 https://github.com/SW-in-beta/simon-skills

Made for: Claude Code, Codex.

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 simon-md-reviewer

README.md
[![agentmods](https://agentmods.dev/badge/skills/sw-in-beta/simon-skills/simon-md-reviewer/github.svg)](https://agentmods.dev/skills/sw-in-beta/simon-skills/simon-md-reviewer)
Your own site
<a href="https://agentmods.dev/skills/sw-in-beta/simon-skills/simon-md-reviewer"><img src="https://agentmods.dev/badge/skills/sw-in-beta/simon-skills/simon-md-reviewer/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for simon-md-reviewer

Your own site · 80×15
<a href="https://agentmods.dev/skills/sw-in-beta/simon-skills/simon-md-reviewer"><img src="https://agentmods.dev/badge/skills/sw-in-beta/simon-skills/simon-md-reviewer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 168 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,590 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
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 5.1 $0.00168 $0.03590
Opus 5 $0.00084 $0.01795
Sonnet 5 $0.00034 $0.00718
Haiku 4.5 $0.00017 $0.00359

Measured 11d ago against content hash d52b7c3da218, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

simon-md-reviewer 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 11d 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.

skills/simon-md-reviewer/SKILL.md · 285 lines

How it starts

The opening of the file, as written. The whole thing — 285 lines — stays where its author put it; the contents beside it link to each section on GitHub.

simon-md-reviewer

마크다운 파일을 에디터에서 열어 리뷰하고, 피드백을 Claude가 반영하는 리뷰 루프. 실행 환경에 따라 두 모드 중 하나로 동작한다:

  • Orca 모드: Orca 터미널 세션 안에서 실행 중일 때. Orca 에디터에서 열고, 인라인 리뷰 노트("Send notes to an agent")로 피드백을 받는다. 문서가 코멘트 문법으로 오염되지 않고, 앱 전환이 없다.
  • Obsidian 모드: 그 외. Obsidian에서 열고 %%코멘트%%로 피드백을 받는다.

두 에디터 모두 파일 시스템을 감시하므로, Claude가 MD를 수정하면 자동으로 다시 로드된다.

언제 사용하나

  • MD 파일 경로를 직접 지정하며 "리뷰해줘", "열어줘"
  • 세션에서 MD를 작성한 뒤 "이거 보면서 수정하자"
  • 다른 스킬 밖에서 독립적으로 MD 리뷰가 필요할 때

다른 스킬(simon-study, simon-oncall, simon-report, simon)이 실행 중이고 해당 스킬 내부에 리뷰 Phase가 있다면, 그 스킬의 리뷰 루프를 따른다. 이 스킬은 독립 호출 전용이다.

모드 선택

if [ "$TERM_PROGRAM" = "Orca" ] && [ -n "$ORCA_WORKSPACE_ID" ]; then
  MODE=orca
else
  MODE=obsidian
fi
  • 사용자가 "Obsidian으로 열어줘"라고 명시하면 Orca 안에서도 Obsidian 모드를 쓴다 (vault 백링크·그래프가 필요한 문서 등).
  • Orca 모드는 Orca 터미널 세션 안에서만 성립한다. Orca 앱이 떠 있어도 이 세션이 Orca 밖이면 리뷰 노트가 이 에이전트에게 전송되지 않으므로 Obsidian 모드를 쓴다.

Phase 1: 대상 MD 파일 결정 (공통)

경우 A — 경로가 주어진 경우

사용자가 MD 파일 경로를 제공했으면 바로 Phase 2로 진행한다.

경우 B — 경로가 없는 경우

사용자에게 무엇을 MD로 작성할지 확인한다:

  1. 세션 컨텍스트에서 생성: 대화 중 분석/정리한 내용을 MD로 구조화
  2. 사용자가 내용 지시: "이 주제에 대해 정리해줘" → MD 작성

MD 작성 가이드라인:

  • 한국어 작성, 기술 용어는 영어 병기
  • Obsidian callout 활용 (아래 레퍼런스 참조)
  • mermaid 다이어그램으로 복잡한 관계 시각화
  • 섹션마다 핵심 메시지를 먼저, 상세 내용은 뒤에

작업 경로 (모드별)

모드 작업 경로 이유
Obsidian ~/claude-reports/{topic-slug}.md (vault) Obsidian은 vault 내 파일만 연다
Orca {워크스페이스 루트}/claude-reports/{topic-slug}.md orca file open은 워크스페이스 상대경로만 허용 (절대경로 → invalid_relative_path 에러)

Orca 모드 세부:

  • 리뷰 대상이 이미 워크스페이스 안에 있으면(레포 문서 등) 복사 없이 제자리에서 연다. 확정 후에도 제자리에 둔다.
  • vault 파일이나 신규 보고서는 워크스페이스의 claude-reports/에 사본을 만들어 작업하고, 확정 시 vault로 이동한다 (Phase 4).
  • claude-reports/ 생성 시 git 오염 방지를 위해 self-ignoring .gitignore를 함께 만든다:
WORKSPACE_ROOT=$(orca worktree current --json | python3 -c "import json,sys; print(json.load(sys.stdin)['result']['worktree']['path'])")
mkdir -p "$WORKSPACE_ROOT/claude-reports"
printf '*\n' > "$WORKSPACE_ROOT/claude-reports/.gitignore"

Read the full file on GitHub · 285 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. 11d ago First seen · 285 lines · 168 tokens per session scan A d52b7c3da218

Subscribe to this mod's changes

simon-md-reviewer is a skill published in the GitHub repository SW-in-beta/simon-skills (2 stars, last pushed 1mo ago), licensed MIT. It adds 168 tokens to every session and 3,590 once invoked, about $0.0008 per session on Opus 5. 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.

Related

Other skills, from other repositories

systematic-debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.

obra/superpowers · 21 tokens

local-ai-agents

Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…

microsoft/ai-agents-for-beginners · 200 tokens

next-cache-components-adoption

Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…

vercel/next.js · 95 tokens

insight-error-page

Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…

vercel/next.js · 83 tokens

next-cache-components-optimizer

Drive a Next.js route to instant navigation by setting up an agentic loop, under Cache Components / PPR, on initial load (hard navigation) and client-side navigation (soft navigation). Encode the goal as a failing @next/playwright instant() e2e and work it to green, one verified route at a time; the shipped test then…

vercel/next.js · 170 tokens

next-partial-prefetching-adoption

Turn on Partial Prefetching in a Next.js app and work through the insights it surfaces. Use when the user wants to enable or adopt Partial Prefetching, flip the partialPrefetching flag, opt routes in with export const prefetch = 'partial', audit Link prefetch={true} behavior, preserve existing prefetched UI with…

vercel/next.js · 103 tokens