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.
npx skills add johnfkoo951/cmdspace-plugins --skill lit-reviewgit clone --depth 1 https://github.com/johnfkoo951/cmdspace-pluginsWrote 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/johnfkoo951/cmdspace-plugins/lit-review)<a href="https://agentmods.dev/skills/johnfkoo951/cmdspace-plugins/lit-review"><img src="https://agentmods.dev/badge/skills/johnfkoo951/cmdspace-plugins/lit-review/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/johnfkoo951/cmdspace-plugins/lit-review"><img src="https://agentmods.dev/badge/skills/johnfkoo951/cmdspace-plugins/lit-review.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 | $0.00090 | $0.00640 |
| Opus 5.5 | $0.00036 | $0.00256 |
| Sonnet 5.5 | $0.00018 | $0.00128 |
| Haiku 4.5 | $0.00009 | $0.00064 |
Grade A, and why
lit-review 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 1mo 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
Literature Review (독립 스킬)
연구 파이프라인의 Phase 2를 독립적으로 실행하는 스킬입니다. 검색 결과 파일이나 논문 목록을 받아 합성 매트릭스와 문헌 리뷰를 작성합니다.
워크플로우
1. 입력 자료 확인
사용자가 제공하는 입력 형태:
- 파일 경로:
01-search-results.md또는 논문 목록 파일 - 논문 목록: 대화에서 직접 제공한 논문 제목/DOI 목록
- 주제: 주제만 제공 시 먼저
/lit-search를 제안
2. 사용자 옵션 확인
AskUserQuestion으로 확인:
{
"questions": [
{
"header": "분석 깊이",
"question": "어떤 수준의 문헌 리뷰를 원하시나요?",
"options": [
{"label": "전체 리뷰 (Recommended)", "description": "합성 매트릭스 + 주제별 리뷰 + 갭 분석 + 이론 프레임워크"},
{"label": "합성 매트릭스만", "description": "논문 비교표만 생성"},
{"label": "요약 정리", "description": "각 논문 요약 + 간단한 비교"}
],
"multiSelect": false
},
{
"header": "문헌 노트",
"question": "개별 논문 노트도 생성할까요?",
"options": [
{"label": "생성 (Recommended)", "description": "20. Literature Notes/21./ 에 @citekey.md 노트 생성"},
{"label": "생성 안함", "description": "합성 매트릭스와 리뷰만 생성"}
],
"multiSelect": false
}
]
}
3. 서브에이전트 디스패치
Task 도구로 literature-analyst 에이전트를 디스패치한다.
프롬프트에 포함할 정보:
- 논문 목록 또는 검색 결과 파일 내용
- 연구 주제와 핵심 질문
- 분석 깊이 선택
- 문헌 노트 생성 여부
- 출력 경로
4. 결과 보고
에이전트 완료 후:
- 합성 매트릭스 요약 (분석한 논문 수, 주제 클러스터)
- 주요 연구 갭 요약
- 이론 프레임워크 제안 요약
- 생성된 파일 목록 안내
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.
- 1mo ago First seen · 68 lines · 90 tokens per session scan A df42c8d65390
lit-review is a skill published in the GitHub repository johnfkoo951/cmdspace-plugins (7 stars, last pushed today), licensed MIT. It adds 90 tokens to every session and 640 once invoked, about $0.0004 per session on Opus 5.5. 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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wiki-ingest
Ingest supplied source material into an Obsidian vault with provenance and claim tracking: pasted text, files staged in the selected vault's inbox or .raw archive, or explicitly approved URLs. Use for a single source or bounded batch, not for saving an assistant answer. Triggers: ingest, ingest this file, ingest this…
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wiki-retrieve
Build and query a vault-local contextual BM25 retrieval index with optional multilingual Nomic cosine reranking; use for retrieve, hybrid retrieval, BM25, rerank, contextual retrieval, chunk search, vault search, semantic search, find relevant passages, or retrieval diagnostics. Derived caches stay under .vault-meta…
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Create or update workspace-level instruction files for code repositories or ordinary project folders, including AGENTS.md, CLAUDE.md, GEMINI.md, local override files, and Ariadne vault-link blocks. Use when a user wants to initialize, repair, or refresh workspace instructions, connect a workspace to a registered…
ariadne:global-discovery
Register existing Markdown knowledge vaults for machine-level discovery so cold agents can find long-term knowledge from any workspace. Use when checking, adding, updating, repairing, or removing global vault discovery.