AutoRAG Setup and Repair
Marker-Inc-Korea/AutoRAG
Installs, configures, and repairs AutoRAG's search model, approved folders, indexes, and datasources, and registers its Lite MCP server.
Search the Genie Sim asset library by natural-language keyword via the generator's searchassets MCP tool (RAG over ASSETSINDEX), and look up asset interaction metadata via getinteractions.
Install Search Assets
$ npx skills add AgibotTech/genie_sim --skill search-assets -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install AgibotTech/genie_sim search-assets --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/AgibotTech/genie_sim.git skills-src && mkdir -p .claude/skills && cp -r skills-src/source/geniesim_generator/skills/search-assets .claude/skills/search-assets && 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 "search-assets" agent skill from https://github.com/AgibotTech/genie_sim/tree/main/source/geniesim_generator/skills/search-assets into .claude/skills/search-assets/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "search-assets", 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/AgibotTech/genie_sim/tree/main/source/geniesim_generator/skills/search-assetsType 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 AgibotTech/genie_sim --skill search-assets -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install AgibotTech/genie_sim search-assets --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/AgibotTech/genie_sim.git skills-src && mkdir -p .agents/skills && cp -r skills-src/source/geniesim_generator/skills/search-assets .agents/skills/search-assets && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "search-assets" agent skill from https://github.com/AgibotTech/genie_sim/tree/main/source/geniesim_generator/skills/search-assets into .agents/skills/search-assets/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "search-assets", 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 AgibotTech/genie_sim --skill search-assets -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install AgibotTech/genie_sim search-assets --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/AgibotTech/genie_sim.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/source/geniesim_generator/skills/search-assets .cursor/skills/search-assets && 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 "search-assets" agent skill from https://github.com/AgibotTech/genie_sim/tree/main/source/geniesim_generator/skills/search-assets into .cursor/skills/search-assets/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "search-assets", 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/AgibotTech/genie_sim.git --path source/geniesim_generator/skills/search-assets--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 AgibotTech/genie_sim --skill search-assets -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install AgibotTech/genie_sim search-assets --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/AgibotTech/genie_sim.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/source/geniesim_generator/skills/search-assets .gemini/skills/search-assets && 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 "search-assets" agent skill from https://github.com/AgibotTech/genie_sim/tree/main/source/geniesim_generator/skills/search-assets into .gemini/skills/search-assets/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "search-assets", 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 AgibotTech/genie_sim search-assetsInstalls 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 AgibotTech/genie_sim --skill search-assets -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/AgibotTech/genie_sim.git skills-src && mkdir -p .github/skills && cp -r skills-src/source/geniesim_generator/skills/search-assets .github/skills/search-assets && 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 "search-assets" agent skill from https://github.com/AgibotTech/genie_sim/tree/main/source/geniesim_generator/skills/search-assets into .github/skills/search-assets/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "search-assets", 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 AgibotTech/genie_sim --skill search-assets -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install AgibotTech/genie_sim search-assets --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/AgibotTech/genie_sim.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/source/geniesim_generator/skills/search-assets .opencode/skills/search-assets && 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 "search-assets" agent skill from https://github.com/AgibotTech/genie_sim/tree/main/source/geniesim_generator/skills/search-assets into .opencode/skills/search-assets/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "search-assets", 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.
Facts
- Skill name
search-assets- GitHub stars
- 1.4k
- Token cost
- ~1.2k tokens
- SKILL.md length
- 348 words
- Files
- 1
- Skills in repo
- 26
- Repo updated
- First seen
- Licence
- MPL-2.0
At a glance
Search the Genie Sim asset library by natural-language keyword via the generator's searchassets MCP tool (RAG over ASSETSINDEX), and look up asset interaction metadata via getinteractions.
- Search the asset library
- SKILL.md covers When to Use, The tools (served on…, How to use and Tips, plus 1 more section
- Calls curl
- What assets match <description
What it does
Search Assets is an agent skill from AgibotTech/genie_sim. Search the Genie Sim asset library by natural-language keyword via the generator's searchassets MCP tool (RAG over ASSETSINDEX), and look up asset interaction metadata via getinteractions. Trigger: When the user asks to "搜索资产", "find an asset", "查一下有没有...的模型", "search the asset library", "what assets match <description", "look up assetid X", or wants to know which assets exist before generating a scene.
Its SKILL.md is about 1.2k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in AI & LLM Engineering, covering MCP servers and Retrieval-augmented generation. The repository describes itself as: Simulation Platform from AgiBot. The licence is MPL-2.0.
When your agent uses it
- Search the asset library
- What assets match <description
- Look up assetid X
- Wants to know which assets exist before generating a scene
Example prompts
- “find an asset”
- “查一下有没有...的模型”
- “search the asset library”
- “/search-assets”
What it can do on your machine
Read from SKILL.md and the folder at commit 6ca11c7. It shows what the files ask for, not the result of running them.
Tool permissions
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.
Runs code
Shell commands in SKILL.md call:
curl
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md. Its commands use curl, which can reach the network depending on how they are called.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Search Assets loads about 1.2k tokens when it runs. Until then it costs about 107 tokens; SKILL.md has 348 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.
Safety
Auto-check passed
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.
SKILL.md
The full file from AgibotTech/genie_sim at commit 6ca11c7, republished under its MPL-2.0 licence (© AgibotTech). 348 words, ~1,174 tokens.
Download SKILL.mdSave it as
.claude/skills/search-assets/SKILL.md (or your agent's skills folder).- name
- search-assets
- description
- Search the Genie Sim asset library by natural-language keyword via the generator's `search_assets` MCP tool (RAG over ASSETS_INDEX), and look up asset interaction metadata via `get_interactions`. Trigger: When the user asks to "搜索资产", "find an asset", "查一下有没有...的模型", "search the asset library", "what assets match <description>", "look up asset_id X", or wants to know which assets exist before generating a scene.
- license
- MPL-2.0
- metadata.author
- genie-sim
- metadata.version
- 1.0
- prerequisites
- geniesim_generator:deploy-generator
When to Use
- User wants to discover assets that match a description / keyword.
- User has an exact
asset_idand wants its record. - User wants the interaction structure (active/passive affordances) of one or more assets before placing them in a scene.
Prerequisite: the generator MCP stack is running (:8765). If it isn't, run
the deploy-generator skill first.
Do not use for:
- Bringing the server up →
deploy-generatorskill. - Producing a full scene program →
generate-sceneskill.
The tools (served on http://localhost:8765)
| Route | Tool | Purpose |
|---|---|---|
/assets-agent | search_assets | RAG keyword search over the asset library |
/assets-agent | search_asset_by_asset_id | Exact lookup by asset_id |
/assets-info-agent | get_interactions | Active/passive interaction metadata for given asset ids |
search_assets arguments
| Arg | Meaning |
|---|---|
keyword (required) | What to search for; the more detailed, the better the match. |
topk | Number of results (default 10). |
exclude_regex | Drop assets whose asset_id matches (e.g. omni6D.*, `omni6D.* |
include_regex | Keep only assets whose asset_id matches. |
scene_description | One-line scene summary to bias retrieval (e.g. "bottles of soda on a table"). |
Each result row carries asset_id, semantic_name, full_description, etc.
get_interactions arguments
| Arg | Meaning |
|---|---|
assets_ids (required) | List of asset ids to introspect. |
just_structure | True (default) collapses leaf values to placeholders — use it to see the shape of the affordances without the full payload. |
How to use
Normal path: drive these through the Open WebUI geniesimassets agent —
import config/geniesimassets.json, then chat ("find me a few ceramic mugs,
exclude omni6D"). The agent calls search_assets and shows the rows.
Programmatic / smoke-test path (an MCP client, or a quick HTTP call against the mcpo gateway):
# search by keyword
curl -s http://localhost:8765/assets-agent/search_assets \
-H 'Content-Type: application/json' \
-d '{"keyword": "ceramic coffee mug with handle", "topk": 5,
"exclude_regex": "omni6D.*", "scene_description": "mugs on a kitchen table"}'
# exact id lookup
curl -s http://localhost:8765/assets-agent/search_asset_by_asset_id \
-H 'Content-Type: application/json' -d '{"asset_id": "<ASSET_ID>"}'
# interaction structure
curl -s http://localhost:8765/assets-info-agent/get_interactions \
-H 'Content-Type: application/json' \
-d '{"assets_ids": ["<ID_A>", "<ID_B>"], "just_structure": true}'(The mcpo gateway publishes each MCP tool as an HTTP endpoint; exact request
schema is visible at http://localhost:8765/docs.)
Tips
- Be specific in
keyword. "red ceramic mug with a handle" beats "cup". - Use
exclude_regex/include_regexto constrain to (or away from) an asset family by id prefix — e.g.include_regex: "objaverse.*". scene_descriptionis a soft hint, not a filter; it nudges ranking.- The backend (text API vs. VL model) is whatever profile
deploy-generatorbrought up; the tool surface is identical either way, but VL search also understands asset images.
Resources
- Search server: server/mcp_assets_server.py
- Interaction server: server/mcp_assets_info.py
- RAG backends: server/assets_searcher/
- Open WebUI agent: config/geniesimassets.json
© AgibotTech, MPL-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in source/geniesim_generator/skills/search-assets of AgibotTech/genie_sim.
Open the folder on GitHubat commit 6ca11c7
Compare with similar skills
Search Assets 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 |
|---|---|---|---|---|---|---|
| Search Assets this skillAgibotTech/genie_sim | 1.4k | — | ~1.2k | Automated safety check: Pass | MPL-2.0 | |
| AutoRAG Setup and RepairMarker-Inc-Korea/AutoRAG | 5.1k | — | ~5.3k | Automated safety check: Pass | MIT | |
| Sciverseopendatalab/Sciverse-Agent-Tools | 119 | — | ~3k | Automated safety check: Pass | Custom licence | |
| MCP Local RAGshinpr/mcp-local-rag | 407 | — | ~4.4k | Automated safety check: Pass | MIT | |
| Local RAG Searchnkapila6/mcp-local-rag | 134 | 1 repos | ~1.6k | Automated safety check: Pass | MIT | |
| Neurolink Guidejuspay/neurolink | 143 | — | ~1.4k | Automated safety check: Pass | MIT |
Similar skills
Sciverse
opendatalab/Sciverse-Agent-Tools
A skill your agent uses when the user needs academic paper retrieval — searching scientific literature by author/year/journal, finding paper chunks for RAG-style citations, or expanding original…
MCP Local RAG
shinpr/mcp-local-rag
Searches, saves, and maintains a local document index through a local RAG MCP server.
Local RAG Search
nkapila6/mcp-local-rag
Efficiently perform web searches using the mcp-local-rag server with semantic similarity ranking.
Neurolink Guide
juspay/neurolink
Guide for using the NeuroLink SDK and CLI. An agent skill from juspay/neurolink.
- Official
Enterprise AI
oracle/skills
Oracle Enterprise AI guidance for building, deploying, securing, estimating cost for, and integrating AI models, agents, RAG, Responses API workflows, custom or imported models, fine-tuning, model…
More from AgibotTech/genie_sim
All 26 skills in this repoChallenge Baseline Model
AgibotTech/genie_sim
Provision and launch the Simulation Challenge baseline inference model end to end: clone the inference code from a given git repo/branch, download the checkpoints from ModelScope into the repo's…
Challenge Download Datasets
AgibotTech/genie_sim
Download the Simulation Challenge LeRobot v2.1 training datasets from ModelScope using ./scripts/downloaddataset.sh.
Add Robot
AgibotTech/genie_sim
Bring a custom robot into the Genie Sim RT Engine — author / fix a xacro / URDF in geniesimrobotmodel, prep meshes with the offline tools (normalizeobjnames.py, diagnoseurdf.py, recomputeinertia.py…
Build Workspace
AgibotTech/genie_sim
Build the geniesimros colcon workspace inside the Genie Sim Docker container using the geniesim ros build CLI verb.
Challenge Inference Protocol
AgibotTech/genie_sim
Reference for the Simulation Challenge inference wire protocol — the exact obs (input) and action (output) message format exchanged between the gateway/genie-sim simulator and the contestant's…
Challenge Login
AgibotTech/genie_sim
A skill your agent uses when the contestant needs to obtain or refresh their Simulation Challenge JWT (CHALLENGETOKEN), or wants to inspect the current logged-in user.
Related
Categories
Questions about Search Assets
What does Search Assets do?
Search the Genie Sim asset library by natural-language keyword via the generator's searchassets MCP tool (RAG over ASSETSINDEX), and look up asset interaction metadata via getinteractions. Search Assets is an agent skill from AgibotTech/genie_sim. Search the Genie Sim asset library by natural-language keyword via the generator's searchassets MCP tool (RAG over ASSETSINDEX), and look up asset interaction metadata via getinteractions.
When should I use Search Assets?
Search Assets fits situations like: search the asset library; what assets match <description; look up assetid X; wants to know which assets exist before generating a scene.
How do I install Search Assets in Claude Code?
Run `npx skills add AgibotTech/genie_sim --skill search-assets -a claude-code`. Or copy the skill folder (source/geniesim_generator/skills/search-assets in AgibotTech/genie_sim) into .claude/skills/search-assets in your project. Claude Code loads it when a task matches its description.
How do I install Search Assets in Codex?
Run `npx skills add AgibotTech/genie_sim --skill search-assets -a codex`. Or copy the skill folder (source/geniesim_generator/skills/search-assets in AgibotTech/genie_sim) into .agents/skills/search-assets in your project. Codex loads it when a task matches its description.
Can I use Search Assets in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add AgibotTech/genie_sim --skill search-assets -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/search-assets, .gemini/skills/search-assets, .github/skills/search-assets and .opencode/skills/search-assets in your project.
What does Search Assets need to run?
Going by SKILL.md and its folder, Search Assets needs the command-line tools its instructions call (curl).
Does Search Assets access the network?
SKILL.md contains no URLs. Its commands use curl, which can reach the network depending on how they are called. This is read from the text; nothing was executed.
Is Search Assets safe to install?
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.
What licence does Search Assets use?
Search Assets is published under the MPL-2.0 licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Search Assets use?
About 1.2k tokens (SKILL.md is roughly 4.7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Search Assets?
Skills that share tags, products or a category with Search Assets: AutoRAG Setup and Repair (Marker-Inc-Korea/AutoRAG, 5.1k stars), Sciverse (opendatalab/Sciverse-Agent-Tools, 119 stars), MCP Local RAG (shinpr/mcp-local-rag, 407 stars) and Local RAG Search (nkapila6/mcp-local-rag, 134 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Search Assets?
AgibotTech (a GitHub organization) maintains it in AgibotTech/genie_sim, which has 1,414 GitHub stars. The repository holds 26 skills in this directory. The repository was last updated on September 7, 2026.
Source: AgibotTech/genie_sim on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.