Setting Up Papergraph
lotchuazzz-crypto/papergraph-mcp
A skill your agent uses when a user has cloned PaperGraph MCP and asks to install, initialize, configure, set up, or start using it with an agent or MCP client.
Bootstraps and repairs the model-free AutoRAG Lite MCP server: installing it, initializing a config with approved search roots, building indexes and verifying discovery.
$ npx skills add Marker-Inc-Korea/AutoRAG --skill autorag-lite-setup -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install Marker-Inc-Korea/AutoRAG autorag-lite-setup --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/Marker-Inc-Korea/AutoRAG.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/autorag-lite-setup .claude/skills/autorag-lite-setup && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "autorag-lite-setup" agent skill from https://github.com/Marker-Inc-Korea/AutoRAG/tree/main/skills/autorag-lite-setup into .claude/skills/autorag-lite-setup/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "autorag-lite-setup", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/Marker-Inc-Korea/AutoRAG/tree/main/skills/autorag-lite-setupType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add Marker-Inc-Korea/AutoRAG --skill autorag-lite-setup -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install Marker-Inc-Korea/AutoRAG autorag-lite-setup --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Marker-Inc-Korea/AutoRAG.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/autorag-lite-setup .agents/skills/autorag-lite-setup && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "autorag-lite-setup" agent skill from https://github.com/Marker-Inc-Korea/AutoRAG/tree/main/skills/autorag-lite-setup into .agents/skills/autorag-lite-setup/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "autorag-lite-setup", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add Marker-Inc-Korea/AutoRAG --skill autorag-lite-setup -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install Marker-Inc-Korea/AutoRAG autorag-lite-setup --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Marker-Inc-Korea/AutoRAG.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/autorag-lite-setup .cursor/skills/autorag-lite-setup && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "autorag-lite-setup" agent skill from https://github.com/Marker-Inc-Korea/AutoRAG/tree/main/skills/autorag-lite-setup into .cursor/skills/autorag-lite-setup/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "autorag-lite-setup", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/Marker-Inc-Korea/AutoRAG.git --path skills/autorag-lite-setup--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add Marker-Inc-Korea/AutoRAG --skill autorag-lite-setup -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install Marker-Inc-Korea/AutoRAG autorag-lite-setup --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Marker-Inc-Korea/AutoRAG.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/autorag-lite-setup .gemini/skills/autorag-lite-setup && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "autorag-lite-setup" agent skill from https://github.com/Marker-Inc-Korea/AutoRAG/tree/main/skills/autorag-lite-setup into .gemini/skills/autorag-lite-setup/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "autorag-lite-setup", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install Marker-Inc-Korea/AutoRAG autorag-lite-setupInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add Marker-Inc-Korea/AutoRAG --skill autorag-lite-setup -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/Marker-Inc-Korea/AutoRAG.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/autorag-lite-setup .github/skills/autorag-lite-setup && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "autorag-lite-setup" agent skill from https://github.com/Marker-Inc-Korea/AutoRAG/tree/main/skills/autorag-lite-setup into .github/skills/autorag-lite-setup/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "autorag-lite-setup", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add Marker-Inc-Korea/AutoRAG --skill autorag-lite-setup -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install Marker-Inc-Korea/AutoRAG autorag-lite-setup --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Marker-Inc-Korea/AutoRAG.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/autorag-lite-setup .opencode/skills/autorag-lite-setup && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "autorag-lite-setup" agent skill from https://github.com/Marker-Inc-Korea/AutoRAG/tree/main/skills/autorag-lite-setup into .opencode/skills/autorag-lite-setup/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "autorag-lite-setup", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
autorag-lite-setupBootstraps and repairs the model-free AutoRAG Lite MCP server: installing it, initializing a config with approved search roots, building indexes and verifying discovery.
The skill is scoped to setup and repair only; normal day-to-day use of AutoRAG Lite happens through its MCP tool calls, not through this skill or shell commands, and a separate autorag-setup skill handles the model-backed version. It installs the @autorag/librarian package with Bun or npm if the autorag-mcp executable is missing, requiring Node.js 24 or newer, and for a source checkout builds and registers the compiled entry point directly instead of a globally installed binary.
Initializing a model-free config writes search paths, a workspace and other lifecycle settings, refusing to silently overwrite the default config path without an explicit force flag and target. Supported document formats include Markdown, text, PDF, docx, pptx, xlsx, hwp and eml, but not legacy .doc. Safety rules restrict the skill to inspecting only non-secret config fields such as search paths and datasource names, storing only environment-variable names rather than credential values, never touching source documents, and never indexing system trees, caches, credential stores or directories like node_modules, .git or dist.
5 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 29ccab9. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Shell commands in SKILL.md call:
buncargoclaudecodexnpmFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md. Its commands use npm, which can reach the network depending on how they are called.
From URLs in SKILL.md, links to its own repository left out.
Names these keys or tokens, usually read from environment variables:
GITHUB_TOKENFrom names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
AutoRAG Lite Setup loads about 3.3k tokens when it runs. Until then it costs about 79 tokens; SKILL.md has 1,593 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
The full file from Marker-Inc-Korea/AutoRAG at commit 29ccab9, republished under its MIT licence (© Marker-Inc-Korea). 1,593 words, ~3,319 tokens.
.claude/skills/autorag-lite-setup/SKILL.md (or your agent's skills folder).Use this skill only to bootstrap, register, or repair AutoRAG Lite MCP:
initialize trusted config, connect the host, build indexes, and verify search.
Normal Lite use is MCP tool calling, not a search skill or shell command.
Use autorag-setup instead when the model-backed librarian must be configured.
searchPaths, workspacePath,
memoryPath, minSync, jikji, datasources.tokenEnv or apiKeyEnv..autorag/ directory and
Jikji's per-source .jikji/ caches.node_modules, .git, dist, build, target, .cache, .autorag, or
.jikji.@autorag/librarian ships both autorag (bootstrap/maintenance) and
autorag-mcp (stdio server). The executable requires Node.js >= 24 on PATH.
command -v autorag-mcp >/dev/null || bun install -g @autorag/librarian
command -v autorag
command -v autorag-mcp
autorag lite --helpIf Bun is unavailable, npm install -g @autorag/librarian is acceptable.
If only autorag exists, upgrade the package rather than substituting CLI
retrieval for MCP. For a source checkout, run bun run build and register the
absolute dist/mcp/index.js path instead of the installed executable.
autorag lite init \
--search-paths "/path/to/documents,/path/to/notes" \
--workspace "/path/to/workspace" \
--memory-path "/path/to/memory.json"lite init writes the configured model-free lifecycle config. Use --force
only when intentionally replacing an existing config, and target it with an
explicit path (--config or AUTORAG_CONFIG); --force refuses to replace the
implicit ~/.autorag/config.json. Explicit user paths win;
otherwise propose one to three document-dense roots and get approval before
indexing. Supported parsed formats are md, markdown, txt, text, pdf,
docx, pptx, xlsx, xls, hwp, hwpx, and eml. Legacy .doc is not
a supported parsed format.
Config resolution follows the usual order: --config, AUTORAG_CONFIG,
$AUTORAG_HOME/config.json, or ~/.autorag/config.json. Environment overrides
include AUTORAG_HOME, AUTORAG_CONFIG, AUTORAG_SEARCH_PATHS,
AUTORAG_WORKSPACE, and AUTORAG_MEMORY_PATH.
After config and datasource setup, register the server with the host. Use
absolute config, search root, workspace, and executable paths: hosts may start
the server from a different working directory or with a restricted PATH.
Resolve command -v autorag-mcp and substitute its absolute path below.
Inspect an existing autorag registration first; keep a working registration
and update only an outdated command or config path.
# Claude Code: project-local registration
claude mcp add --transport stdio --scope local autorag \
--env AUTORAG_CONFIG=/absolute/path/to/.autorag/config.json \
-- /absolute/path/to/autorag-mcp
# Codex: user registration
codex mcp add autorag \
--env AUTORAG_CONFIG=/absolute/path/to/.autorag/config.json \
-- /absolute/path/to/autorag-mcpFor other hosts, use their stdio MCP configuration with the same command,
empty arguments, and AUTORAG_CONFIG environment variable. The host starts
the subprocess; do not run it as a background HTTP service. Pass any required
credential environment-variable names through the host's secret mechanism;
never put credential values in registration examples or logs.
Reload/reconnect the host, then use MCP tools/list to discover the actual
tools and schemas. Verify autorag.status, autorag.refresh, autorag.search,
autorag.search.files, and autorag.datasources.list are available. Configured
integrated datasources add their own search tools; do not assume a fixed count.
Run autorag.status and autorag.datasources.list through MCP, then refresh
and search a known phrase from an approved document. Registration alone is
not proof of a connected or searchable server. After config changes, restart
the server so datasource tools are rebuilt.
AUTORAG_MCP_READ_ONLY=1 omits refresh; build indexes with the CLI before
connecting that mode. AUTORAG_MCP_TOOLS is an optional comma-separated exact
tool allowlist; omitted tools cannot be called. Use unrestricted tools for
initial setup unless the user intentionally requests a restricted connection.
A datasource setup UI is not shipped in this build — do not recommend it for datasource setup. Configure datasources directly in trusted config, wizard-style:
lazykatok, discrawl, slacrawl,
wacrawl, telecrawl, notcrawl, qmd, mailcrawl, rclone) and its
local store or archive is present. CLI-backed datasources own their own
archive, index, and authentication, so environment credentials (such as bot
tokens) are never required or checked for them. Non-CLI connectors
(such as github) require their credential environment variable
(GITHUB_TOKEN).datasources entries without asking. For example,
when Slack (slacrawl) and Discord (discrawl) are installed with local
stores present, set both up automatically. Discord uses discrawl's local
desktop wiretap archive; no Discord bot token is configured or needed.mail-export, mailcrawl) matter to most
users — always probe them and report their status, even when they end up
skipped.Datasource skills belong in trusted config.
Config keys may be builtin template names (kakao, whatsapp, telegram,
slack, discord, clawgallery, notion, github, cloud-drive,
mail-export, mailcrawl, obsidian, rss, spotlight, lark) or connection
aliases with "type": "<template>". Unknown names are skipped with an
unknown-datasource-skill warning; they do not fail config resolution.
scope narrows a query to a sub-path as ordinary filtering. Tags are
descriptive metadata only, not search filters. Use MCP datasourceIds to
select configured connections before retrieval; discover their IDs with
autorag.datasources.list. Store only env-var names such as tokenEnv or
apiKeyEnv, never credential values.
After connecting, call MCP autorag.refresh with {} for an incremental run.
Use {"methods":["parsed","minsync"]} to narrow indexing, or
{"force":true} only when a full resync is needed. Omit methods to run all
configured methods; MCP does not accept "all" as a method value.
CLI refresh remains available for bootstrap, read-only deployments, and repair:
AUTORAG_CONFIG=/absolute/path/to/.autorag/config.json autorag lite refresh --json--full and --force request a full resync; MCP uses force: true.--method <csv> accepts parsed, minsync, datasources, jikji,
everything (Windows), fsearch (macOS/Linux), and all. MCP methods
accepts the same individual methods, not all. Unknown values are rejected.native:Qwen/Qwen3-Embedding-0.6B, 1024 dimensions, MinSync 0.4.6): no
embedder flags, no API key, and no external daemon (such as Ollama) are
needed, and no corpus text leaves the machine. For gateway-profiled
embeddings, prefetch with autorag models prefetch --profile qwen3-embedding-0.6b.
The legacy Ollama/TEI adapter path (EmbeddingGemma, 768 dimensions) is for
manual QA only. Override the embedder only when intentionally using a
different provider.dupey CLI. Install dupey during setup when it is missing
(command -v dupey || cargo install dupey --locked) and tell the user the feature is
available; when installation is impossible, refresh continues without it
and the user is told duplicate exclusion is off. Set
"excludeExactDuplicates": false to index every copy.Content search requires a completed refresh. MCP autorag.search returns
isError: true with errorCode: "index-not-ready" until refresh completes.
Always refresh first, and refresh again when roots change. Stale indexes can
still return results with stale: true and diagnostics; use strict: true
to reject stale answers, or call autorag.refresh before searching. Sources
deliberately skipped during refresh do not count as stale.
Jikji is a discovery/indexing preparer, not a lite retrieval method.
autorag lite watch --once --json
autorag lite watchPrefer non-daemon autorag lite watch --once from cron, launchd, a systemd
user timer, or Task Scheduler, hourly by default (every 1 hour; shorten only
when the user asks for fresher indexes). Use the same config as retrieval,
avoid overlapping runs, and keep logs outside source trees. --immediate
triggers a first refresh on start and --debounce-ms N tunes change
coalescing. Once the schedule is installed, tell the user right away that
hourly freshness is set up.
Use MCP autorag.status for health and autorag.duplicates for read-only
duplicate-family inspection. No search model is required. CLI-only repair:
AUTORAG_CONFIG=/absolute/path/to/.autorag/config.json autorag lite index rebuild --yes --json
AUTORAG_CONFIG=/absolute/path/to/.autorag/config.json autorag lite index reset --method parsed --yes --jsonindex reset and index rebuild remove or rebuild only workspace
.autorag indexes selected by --method. They never target source
documents.duplicates scans duplicate document families read-only and never deletes
or moves files.Inspect MCP isError, errorCode, diagnostics, and unsearched before
trusting results. ok: true with skipped surfaces is partial coverage, not
proof that the whole corpus was searched. Preserve the underlying error text
when reporting unavailable components such as retrieval-method-failed.
MinSync is required: when its binary is missing the call fails with an
MinSync is required ... error rather than returning partial results, so
install it (cargo install minsync) instead of working around it. Repair the
component rather than silently accepting degraded search.
MCP results carry source, method, and content directly. After a search, the
optional curation lifecycle is also exposed through MCP: autorag.report
records a curated answer, and autorag.evidence returns the exact chunks behind
numbered results. These accept and return JSON matching the CLI's
report/evidence contracts; discover the exact schemas with MCP tools/list
rather than restating them here. Every bracketed [n] citation in a report
answer must be a results[].number; an unmatched citation is removed from
the persisted answer and returned as a citation-without-result diagnostic.
The CLI autorag report and autorag evidence commands remain available for
terminal maintenance.
Setup is complete only when the package and stdio executable are installed, roots are approved, trusted model-free config is written, every datasource has been probed and configured/skipped lists reported, and dupey is installed or its absence reported. The host must connect, discover tools, refresh requested indexes, return acceptable MCP status, and retrieve known source content via MCP. Any requested watch schedule must use the same config and be verified. Remove any previously copied Lite search skill from the host's skill directory so it no longer routes routine search through shell commands.
© Marker-Inc-Korea, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in skills/autorag-lite-setup of Marker-Inc-Korea/AutoRAG.
Open the folder on GitHubat commit 29ccab9
AutoRAG Lite Setup next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| AutoRAG Lite Setup this skillMarker-Inc-Korea/AutoRAG | 5.1k | — | ~3.3k | Automated safety check: Pass | MIT | |
| Setting Up Papergraphlotchuazzz-crypto/papergraph-mcp | 282 | — | ~3.3k | Automated safety check: Pass | MIT | |
| Control Chromewxtsky/byob | 143 | — | ~1.5k | Automated safety check: Warn | MIT | |
| Siyuan MCP Markup Guideyangtaihong59/siyuan-plugins-mcp-sisyphus | 116 | — | ~405 | Automated safety check: Pass | MIT | |
| MCP Server Builderanthropics/skills | 180k | 63 repos | ~2.3k | Automated safety check: Pass | Apache-2.0 | |
| MCP Server BuildershareAI-lab/learn-claude-code | 78k | 4 repos | ~1.2k | Automated safety check: Pass | MIT |
lotchuazzz-crypto/papergraph-mcp
A skill your agent uses when a user has cloned PaperGraph MCP and asks to install, initialize, configure, set up, or start using it with an agent or MCP client.
wxtsky/byob
Control and inspect the user's real Google Chrome through byob's local MCP tools.
yangtaihong59/siyuan-plugins-mcp-sisyphus
MCP SiYuan markup guide for rich Markdown written through block and document actions.
anthropics/skills
Guides the design and implementation of Model Context Protocol servers in TypeScript or Python, from tool naming and error messages to evaluation.
shareAI-lab/learn-claude-code
Walks through building MCP servers in Python or TypeScript that expose tools, resources and prompts to Claude, with templates, registration and testing.
anthropics/claude-plugins-official
Explains how to bundle Model Context Protocol servers in a Claude Code plugin, covering config files, stdio, SSE, HTTP and WebSocket server types, and authentication.
Marker-Inc-Korea/AutoRAG
Searches, summarizes, compares and answers questions from an already configured AutoRAG librarian agent over local documents and authorized datasources.
Marker-Inc-Korea/AutoRAG
Diagnoses and repairs a broken AutoRAG install so every configured datasource is both indexed and returns real search hits.
Marker-Inc-Korea/AutoRAG
Installs, configures, and repairs AutoRAG's search model, approved folders, indexes, and datasources, and registers its Lite MCP server.
Works with
Categories
Bootstraps and repairs the model-free AutoRAG Lite MCP server: installing it, initializing a config with approved search roots, building indexes and verifying discovery. The skill is scoped to setup and repair only; normal day-to-day use of AutoRAG Lite happens through its MCP tool calls, not through this skill or shell commands, and a separate autorag-setup skill handles the model-backed version.js 24 or newer, and for a source checkout builds and registers the compiled entry point directly instead of a globally installed binary.
AutoRAG Lite Setup fits situations like: setting up AutoRAG Lite's MCP server for the first time; repairing a broken or stale AutoRAG Lite index or config; diagnosing why the AutoRAG Lite MCP connection fails to register.
Run `npx skills add Marker-Inc-Korea/AutoRAG --skill autorag-lite-setup -a claude-code`. Or copy the skill folder (skills/autorag-lite-setup in Marker-Inc-Korea/AutoRAG) into .claude/skills/autorag-lite-setup in your project. Claude Code loads it when a task matches its description.
Run `npx skills add Marker-Inc-Korea/AutoRAG --skill autorag-lite-setup -a codex`. Or copy the skill folder (skills/autorag-lite-setup in Marker-Inc-Korea/AutoRAG) into .agents/skills/autorag-lite-setup in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add Marker-Inc-Korea/AutoRAG --skill autorag-lite-setup -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/autorag-lite-setup, .gemini/skills/autorag-lite-setup, .github/skills/autorag-lite-setup and .opencode/skills/autorag-lite-setup in your project.
Going by SKILL.md and its folder, AutoRAG Lite Setup needs the command-line tools its instructions call (bun, cargo, claude, codex and npm) and credentials named GITHUB_TOKEN. Our summary lists: Node.js 24 or newer, with Bun or npm to install @autorag/librarian.
SKILL.md contains no URLs. Its commands use npm, which can reach the network depending on how they are called. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
AutoRAG Lite Setup is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
About 3.3k tokens (SKILL.md is roughly 13k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with AutoRAG Lite Setup: Setting Up Papergraph (lotchuazzz-crypto/papergraph-mcp, 282 stars), Control Chrome (wxtsky/byob, 143 stars), Siyuan MCP Markup Guide (yangtaihong59/siyuan-plugins-mcp-sisyphus, 116 stars) and MCP Server Builder (anthropics/skills, 180k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Marker-Inc-Korea (a GitHub organization) maintains it in Marker-Inc-Korea/AutoRAG, which has 5,122 GitHub stars. The repository holds 4 skills in this directory. The repository was last updated on October 11, 2026.
Source: Marker-Inc-Korea/AutoRAG on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.