# Elnora AI Elnora CLI Elnora Agent

> Elnora Agent Capabilities

- Skill: `tomevault-io/elnora-ai-elnora-cli-elnora-agent` (Agent Skill, multi-file: 2 files)
- Install (CLI): `npx skillmds@latest add tomevault-io/elnora-ai-elnora-cli-elnora-agent`
- Raw SKILL.md: https://api.skillmd.com/api/skills/tomevault-io/elnora-ai-elnora-cli-elnora-agent/raw
- Safety review: WARNING (external: skill-scanner PASS, skillspector CAUTION)
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: AI & ML
- Author: tomevault-io (https://skillmd.com/u/tomevault-io)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/tomevault-io/elnora-ai-elnora-cli-elnora-agent

---


# Elnora Agent Capabilities

The Elnora Agent is a sandboxed Python environment with ~78 core tools + 2,100 ToolUniverse scientific tools. Interact via `tasks create` and `tasks send` — describe what you need in plain language.

## Tool Access

This skill documents **what the Elnora Agent can do**. It does not have dedicated CLI commands — interact with the agent through the `elnora-tasks` skill.

Elnora is available via two methods. Use whichever is configured.

**Option A — CLI via Bash (preferred)**

Run commands via your Bash/Shell tool as `elnora tasks create ...` or `elnora tasks send ...`. Verify with `elnora --version`.

**Tip:** Add `--stream` for real-time agent output:

    elnora --compact tasks send <TASK_ID> --message "..." --stream

**Option B — MCP tools (when CLI isn't installed)**

Look for tools prefixed `mcp__elnora__` in your available tools — specifically `mcp__elnora__elnora_tasks_create` and `mcp__elnora__elnora_tasks_send`. Call them with structured parameters (camelCase).

**If neither is available, tell the user to install one:**

- CLI: `curl -fsSL https://cli.elnora.ai/install.sh | bash` (macOS/Linux)
  or `irm https://cli.elnora.ai/install.ps1 | iex` (Windows)
- MCP: `claude mcp add elnora --transport http --scope user https://mcp.elnora.ai/mcp`
  then `/mcp` to authenticate.

**Never fabricate tool names** like `elnora_run_agent` or `elnora_ask_agent`. The agent is interacted with via `elnora_tasks_create`, `elnora_tasks_send`, and the aggregate `elnora_protocols_generate` — see the `elnora-tasks` skill for full command reference.

## Invocation

```bash
CLI="elnora"
```

## Quick Start

```bash
# Create a task and wait for the response
$CLI --compact tasks create --project <PROJECT_ID> --title "My task" --message "Your request"

# Send follow-up and wait for response
$CLI --compact tasks send <TASK_ID> --message "Follow-up request" --wait

# Or stream the response in real-time
$CLI --compact tasks send <TASK_ID> --message "Follow-up request" --stream
```

## What the Agent Can Do

| Capability | Examples |
|------------|----------|
| **Web search** (34 tools) | Real-time search, neural/semantic search, deep research, URL extraction, site crawling. Providers: Tavily, Exa, Valyu, Perplexity |
| **Academic databases** (12 tools) | PubMed, ArXiv, Semantic Scholar, bioRxiv, Europe PMC, OpenAlex, UniProt, ClinicalTrials.gov, ChEMBL, Wolfram Alpha |
| **2,100+ scientific tools** (ToolUniverse) | Protein structure (AlphaFold, PDB), genomics (Ensembl, ClinVar), chemistry (PubChem, DrugBank), pathways (KEGG, Reactome), drug safety (OpenFDA), and 21 more categories |
| **35 domain skills** | Literature review, experimental design, drug discovery workflow, protein engineering, single-cell RNA QC, statistical analysis, scientific writing |
| **File operations** (11 tools) | Create/read/search files, full-text grep, upload attachments, link files to tasks |
| **Memory** (9 tools) | Remember facts across tasks, share findings between agents, recall prior context |
| **Code execution** | Persistent Python REPL with pandas, numpy, biopython. Variables survive across executions. 30s timeout, 1MB output max |

## Example Prompts

```bash
# Web research
$CLI --compact tasks send "$TASK" --message "Search for recent CRISPR delivery methods and summarize" --wait

# Literature review
$CLI --compact tasks send "$TASK" --message "Search PubMed for BRCA1 DNA repair papers from 2024" --wait

# Drug target research
$CLI --compact tasks send "$TASK" --message "Search for compounds targeting EGFR, cross-reference with active clinical trials" --wait

# Scientific computation
$CLI --compact tasks send "$TASK" --message "Use ToolUniverse to run AlphaFold on this sequence: MVLSPADKTNVKAAWGKVGA" --stream

# Memory
$CLI --compact tasks send "$TASK" --message "Remember that our lab uses Q5 polymerase for all high-fidelity PCR at 62C" --wait

# Reference existing files
$CLI --compact tasks send "$TASK" --message "Read the attached template and generate a new version" --file-refs "<FILE_ID>" --wait
```

---
> Source: [Elnora-AI/elnora-cli](https://github.com/Elnora-AI/elnora-cli) — distributed by [TomeVault](https://tomevault.io).
<!-- tomevault:4.0:skill_md:2026-06-16 -->