Penguin SDK
Prism-Shadow/penguin-harness
A skill your agent uses whenever the user wants to build an agent application — their own program with an embedded agent, such as an AI app, an agentic app or a RAG app.
Knowledge base assistant that retrieves and cites documents from a curated index.
Install RAG Assistant
$ npx skills add Atmosphere/atmosphere --skill rag-assistant -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install Atmosphere/atmosphere rag-assistant --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/Atmosphere/atmosphere.git skills-src && mkdir -p .claude/skills && cp -r skills-src/modules/skills/src/main/resources/META-INF/skills/rag-assistant .claude/skills/rag-assistant && 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 "rag-assistant" agent skill from https://github.com/Atmosphere/atmosphere/tree/main/modules/skills/src/main/resources/META-INF/skills/rag-assistant into .claude/skills/rag-assistant/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "rag-assistant", 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/Atmosphere/atmosphere/tree/main/modules/skills/src/main/resources/META-INF/skills/rag-assistantType 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 Atmosphere/atmosphere --skill rag-assistant -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install Atmosphere/atmosphere rag-assistant --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Atmosphere/atmosphere.git skills-src && mkdir -p .agents/skills && cp -r skills-src/modules/skills/src/main/resources/META-INF/skills/rag-assistant .agents/skills/rag-assistant && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "rag-assistant" agent skill from https://github.com/Atmosphere/atmosphere/tree/main/modules/skills/src/main/resources/META-INF/skills/rag-assistant into .agents/skills/rag-assistant/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "rag-assistant", 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 Atmosphere/atmosphere --skill rag-assistant -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install Atmosphere/atmosphere rag-assistant --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Atmosphere/atmosphere.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/modules/skills/src/main/resources/META-INF/skills/rag-assistant .cursor/skills/rag-assistant && 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 "rag-assistant" agent skill from https://github.com/Atmosphere/atmosphere/tree/main/modules/skills/src/main/resources/META-INF/skills/rag-assistant into .cursor/skills/rag-assistant/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "rag-assistant", 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/Atmosphere/atmosphere.git --path modules/skills/src/main/resources/META-INF/skills/rag-assistant--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 Atmosphere/atmosphere --skill rag-assistant -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install Atmosphere/atmosphere rag-assistant --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Atmosphere/atmosphere.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/modules/skills/src/main/resources/META-INF/skills/rag-assistant .gemini/skills/rag-assistant && 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 "rag-assistant" agent skill from https://github.com/Atmosphere/atmosphere/tree/main/modules/skills/src/main/resources/META-INF/skills/rag-assistant into .gemini/skills/rag-assistant/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "rag-assistant", 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 Atmosphere/atmosphere rag-assistantInstalls 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 Atmosphere/atmosphere --skill rag-assistant -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/Atmosphere/atmosphere.git skills-src && mkdir -p .github/skills && cp -r skills-src/modules/skills/src/main/resources/META-INF/skills/rag-assistant .github/skills/rag-assistant && 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 "rag-assistant" agent skill from https://github.com/Atmosphere/atmosphere/tree/main/modules/skills/src/main/resources/META-INF/skills/rag-assistant into .github/skills/rag-assistant/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "rag-assistant", 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 Atmosphere/atmosphere --skill rag-assistant -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install Atmosphere/atmosphere rag-assistant --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Atmosphere/atmosphere.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/modules/skills/src/main/resources/META-INF/skills/rag-assistant .opencode/skills/rag-assistant && 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 "rag-assistant" agent skill from https://github.com/Atmosphere/atmosphere/tree/main/modules/skills/src/main/resources/META-INF/skills/rag-assistant into .opencode/skills/rag-assistant/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "rag-assistant", 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
rag-assistant- GitHub stars
- 3.8k
- Token cost
- ~504 tokens
- SKILL.md length
- 229 words
- Files
- 1
- Skills in repo
- 20
- Repo updated
- First seen
- Licence
- Apache-2.0
At a glance
Knowledge base assistant that retrieves and cites documents from a curated index.
- Works in 5 steps: Search the knowledge base for relevant… → Read the most relevant documents carefully → Compose your answer using ONLY… → …
- Answering questions that must be grounded in specific source material with citations
- SKILL.md covers Skills, Tools and Guardrails
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
RAG Assistant is an agent skill from Atmosphere/atmosphere. Knowledge base assistant that retrieves and cites documents from a curated index. Use when answering questions that must be grounded in specific source material with citations.
Its SKILL.md is about 500 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 Retrieval-augmented generation, Knowledge bases and Citation management. The repository describes itself as: Portable AI agent runtime for the JVM. One @Agent class runs on Spring AI, LangChain4j, Anthropic, or 9 more behind one SPI. Token streaming, tool calls, human approvals, and… The licence is Apache-2.0.
When your agent uses it
- Answering questions that must be grounded in specific source material with citations
- Tasks that involve Retrieval-augmented generation
- Tasks that involve Knowledge bases
Example prompts
- “/rag-assistant”
Workflow steps
5 steps, taken from the first numbered list in SKILL.md.
- Search the knowledge base for relevant documents
- Read the most relevant documents carefully
- Compose your answer using ONLY information from the documents
- Cite which document(s) your answer draws from
- If the documents don't contain enough information, say so honestly
What it can do on your machine
Read from SKILL.md and the folder at commit 13671cf. 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
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
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
RAG Assistant loads about 504 tokens when it runs. Until then it costs about 48 tokens; SKILL.md has 229 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 Atmosphere/atmosphere at commit 13671cf, republished under its Apache-2.0 licence (© Atmosphere). 229 words, ~504 tokens.
Download SKILL.mdSave it as
.claude/skills/rag-assistant/SKILL.md (or your agent's skills folder).- name
- rag-assistant
- description
- Knowledge base assistant that retrieves and cites documents from a curated index. Use when answering questions that must be grounded in specific source material with citations.
- metadata.category
- rag
- metadata.tags
- rag, retrieval, embeddings, documents, knowledge-base
Atmosphere Knowledge Assistant
You are a knowledgeable assistant that answers questions about the Atmosphere Framework using a curated knowledge base of documentation.
You have access to tools that let you search and read the knowledge base. Use them proactively -- don't guess, look it up:
- search_knowledge_base -- find documents matching a topic or keyword
- list_sources -- see what documents are available
- get_document_excerpt -- read a specific document in full
How to answer questions:
- Search the knowledge base for relevant documents
- Read the most relevant documents carefully
- Compose your answer using ONLY information from the documents
- Cite which document(s) your answer draws from
- If the documents don't contain enough information, say so honestly
Keep responses concise and under 500 words unless asked for more detail.
Skills
- Answer questions about the Atmosphere Framework using RAG retrieval
- Search and browse the knowledge base
- Explain transports, AI modules, agents, and getting started
- Compare features across documentation topics
Tools
- search_knowledge_base: Search documents for relevant information by topic or keyword
- list_sources: Enumerate all available knowledge base documents
- get_document_excerpt: Read a specific document in full by reference
Guardrails
- Use ONLY information from the knowledge base -- never fabricate facts
- If a question cannot be answered from the documents, say so explicitly
- Always cite which document(s) your answer comes from
- Keep responses concise and well-structured
- Recommend the official documentation for topics not covered in the knowledge base
© Atmosphere, Apache-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 modules/skills/src/main/resources/META-INF/skills/rag-assistant of Atmosphere/atmosphere.
Open the folder on GitHubat commit 13671cf
Compare with similar skills
RAG Assistant 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 |
|---|---|---|---|---|---|---|
| RAG Assistant this skillAtmosphere/atmosphere | 3.8k | — | ~504 | Automated safety check: Pass | Apache-2.0 | |
| Penguin SDKPrism-Shadow/penguin-harness | 2.5k | — | ~11k | Automated safety check: Pass | Apache-2.0 | |
| Knowledge Queryevolution-foundation/evo-nexus | 545 | — | ~804 | Automated safety check: Notes | Custom licence | |
| Gnogmickel/gno | 115 | 1 repos | ~1.6k | Automated safety check: Pass | MIT | |
| Gnogmickel/gno | 115 | — | ~11k | Automated safety check: Pass | MIT | |
| Blockify Integrationiternal-technologies-partners/blockify-agentic-data-optimization | 316 | — | ~6.2k | Automated safety check: Notes | Custom licence |
Similar skills
Knowledge Query
evolution-foundation/evo-nexus
Hybrid search (vector + BM25 via RRF + metadata boost) against the pgvector Knowledge base, with optional RAG synthesis.
Gno
gmickel/gno
Search local documents, files, notes, and knowledge bases. An agent skill from gmickel/gno.
Gno
gmickel/gno
Search local documents, files, notes, and knowledge bases. An agent skill from gmickel/gno.
Blockify Integration
iternal-technologies-partners/blockify-agentic-data-optimization
Process documents with Blockify API to create optimized IdeaBlocks for RAG.
Agentsop Dify
agentsope/SkillAlchemy
SOP for building LLM applications on Dify — visual workflow + chatflow + agent + RAG knowledge base + plugin marketplace + observability, self-hostable.
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Related
Categories
Questions about RAG Assistant
What does RAG Assistant do?
Knowledge base assistant that retrieves and cites documents from a curated index. RAG Assistant is an agent skill from Atmosphere/atmosphere. Knowledge base assistant that retrieves and cites documents from a curated index.
When should I use RAG Assistant?
RAG Assistant fits situations like: answering questions that must be grounded in specific source material with citations; tasks that involve Retrieval-augmented generation; tasks that involve Knowledge bases.
How do I install RAG Assistant in Claude Code?
Run `npx skills add Atmosphere/atmosphere --skill rag-assistant -a claude-code`. Or copy the skill folder (modules/skills/src/main/resources/META-INF/skills/rag-assistant in Atmosphere/atmosphere) into .claude/skills/rag-assistant in your project. Claude Code loads it when a task matches its description.
How do I install RAG Assistant in Codex?
Run `npx skills add Atmosphere/atmosphere --skill rag-assistant -a codex`. Or copy the skill folder (modules/skills/src/main/resources/META-INF/skills/rag-assistant in Atmosphere/atmosphere) into .agents/skills/rag-assistant in your project. Codex loads it when a task matches its description.
Can I use RAG Assistant 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 Atmosphere/atmosphere --skill rag-assistant -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/rag-assistant, .gemini/skills/rag-assistant, .github/skills/rag-assistant and .opencode/skills/rag-assistant in your project.
What does RAG Assistant need to run?
SKILL.md names no scripts, command-line tools or credentials: RAG Assistant is instructions for the agent only.
Does RAG Assistant access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is RAG Assistant 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 RAG Assistant use?
RAG Assistant is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does RAG Assistant use?
About 504 tokens (SKILL.md is roughly 2k 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 RAG Assistant?
Skills that share tags, products or a category with RAG Assistant: Penguin SDK (Prism-Shadow/penguin-harness, 2.5k stars), Knowledge Query (evolution-foundation/evo-nexus, 545 stars), Gno (gmickel/gno, 115 stars) and Gno (gmickel/gno, 115 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains RAG Assistant?
Atmosphere (a GitHub organization) maintains it in Atmosphere/atmosphere, which has 3,818 GitHub stars. The repository holds 20 skills in this directory. The repository was last updated on October 6, 2026.
Source: Atmosphere/atmosphere on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.