Getting it into your agent
This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.
/plugin marketplace add gw-space/claude-skillbelt/plugin install skillbeltWrote 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.
[](https://agentmods.dev/skills/gw-space/claude-skillbelt/doc-preview-pane)<a href="https://agentmods.dev/skills/gw-space/claude-skillbelt/doc-preview-pane"><img src="https://agentmods.dev/badge/skills/gw-space/claude-skillbelt/doc-preview-pane/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.
<a href="https://agentmods.dev/skills/gw-space/claude-skillbelt/doc-preview-pane"><img src="https://agentmods.dev/badge/skills/gw-space/claude-skillbelt/doc-preview-pane.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00102 | $0.00623 |
| Opus 5 | $0.00051 | $0.00311 |
| Sonnet 5 | $0.00020 | $0.00125 |
| Haiku 4.5 | $0.00010 | $0.00062 |
Grade A, and why
doc-preview-pane scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
doc-preview-pane
cmux 우측에 단일 프리뷰 pane 을 만들어(이미 있으면 재사용) 마크다운 문서를 네이티브
렌더링으로 보여준다. cmux open 이 .md 를 마크다운 프리뷰 탭으로 렌더링하므로 별도
뷰어 불필요.
When to use
- 아키텍처/설계/플랜 성격의 마크다운을 작성하거나 크게 갱신한 직후 — 사용자가 바로 옆에서 렌더링된 문서를 볼 수 있게 한다.
- 사용자가 "이 문서 오른쪽에 띄워줘 / 보여줘" 라고 요청할 때.
평범한 README 편집, 코드 주석, 한두 줄 수정 등에는 쓰지 않는다 (노이즈).
How to use
작성한 문서의 절대경로로 헬퍼 스크립트를 호출한다:
bash "${CLAUDE_PLUGIN_ROOT}/skills/doc-preview-pane/scripts/show-doc.sh" <abs-path-to.md> [<more.md> ...]
- 여러 문서를 한 번에 넘기면 같은 우측 pane 에 탭으로 열린다.
- 포커스는 현재 (agent) pane 에 유지된다 — 작업 흐름이 끊기지 않는다.
Behavior & guarantees
- 단일 pane 재사용: workspace 별로 프리뷰 pane UUID 를
~/.local/state/cmux-doc-preview/<workspace-id>.pane에 저장. 다음 호출 때 그 pane 이 살아있으면 재사용(탭 추가), 닫혔으면 새로 split. → 호출할수록 화면이 쪼개지지 않음. - Best-effort: cmux 가 없거나(다른 터미널), workspace 밖이거나, pane 생성/open 이 실패해도 스크립트는
exit 0으로 조용히 빠진다. 문서는 이미 저장돼 있으니 본 작업에는 영향 없음. - agent pane 안전: 항상 전용으로 만든 우측 pane 에만 열고, 현재 작업 중인 pane 에는 절대 열지 않는다.
Notes
- 프리뷰 내용이 갱신되면(문서를 다시 쓰면) 같은 경로로 한 번 더 호출하면 된다.
- 우측 pane 을 사용자가 닫았다면 다음 호출 때 자동으로 다시 만든다.
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 12d ago First seen · 41 lines · 102 tokens per session scan A c3f4da478b5c
doc-preview-pane is a skill published in the GitHub repository gw-space/claude-skillbelt (2 stars, last pushed 1mo ago), licensed MIT. It adds 102 tokens to every session and 623 once invoked, about $0.0005 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.
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