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
CLI="elnora"
Quick Start
# 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
# 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 — distributed by TomeVault.
1---2name: elnora-ai-elnora-cli-elnora-agent3description: Elnora Agent Capabilities4---56# Elnora Agent Capabilities78The 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.910## Tool Access1112This skill documents **what the Elnora Agent can do**. It does not have dedicated CLI commands — interact with the agent through the `elnora-tasks` skill.1314Elnora is available via two methods. Use whichever is configured.1516**Option A — CLI via Bash (preferred)**1718Run commands via your Bash/Shell tool as `elnora tasks create ...` or `elnora tasks send ...`. Verify with `elnora --version`.1920**Tip:** Add `--stream` for real-time agent output:2122 elnora --compact tasks send <TASK_ID> --message "..." --stream2324**Option B — MCP tools (when CLI isn't installed)**2526Look 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).2728**If neither is available, tell the user to install one:**2930- CLI: `curl -fsSL https://cli.elnora.ai/install.sh | bash` (macOS/Linux)31 or `irm https://cli.elnora.ai/install.ps1 | iex` (Windows)32- MCP: `claude mcp add elnora --transport http --scope user https://mcp.elnora.ai/mcp`33 then `/mcp` to authenticate.3435**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.3637## Invocation3839```bash40CLI="elnora"41```4243## Quick Start4445```bash46# Create a task and wait for the response47$CLI --compact tasks create --project <PROJECT_ID> --title "My task" --message "Your request"4849# Send follow-up and wait for response50$CLI --compact tasks send <TASK_ID> --message "Follow-up request" --wait5152# Or stream the response in real-time53$CLI --compact tasks send <TASK_ID> --message "Follow-up request" --stream54```5556## What the Agent Can Do5758| Capability | Examples |59|------------|----------|60| **Web search** (34 tools) | Real-time search, neural/semantic search, deep research, URL extraction, site crawling. Providers: Tavily, Exa, Valyu, Perplexity |61| **Academic databases** (12 tools) | PubMed, ArXiv, Semantic Scholar, bioRxiv, Europe PMC, OpenAlex, UniProt, ClinicalTrials.gov, ChEMBL, Wolfram Alpha |62| **2,100+ scientific tools** (ToolUniverse) | Protein structure (AlphaFold, PDB), genomics (Ensembl, ClinVar), chemistry (PubChem, DrugBank), pathways (KEGG, Reactome), drug safety (OpenFDA), and 21 more categories |63| **35 domain skills** | Literature review, experimental design, drug discovery workflow, protein engineering, single-cell RNA QC, statistical analysis, scientific writing |64| **File operations** (11 tools) | Create/read/search files, full-text grep, upload attachments, link files to tasks |65| **Memory** (9 tools) | Remember facts across tasks, share findings between agents, recall prior context |66| **Code execution** | Persistent Python REPL with pandas, numpy, biopython. Variables survive across executions. 30s timeout, 1MB output max |6768## Example Prompts6970```bash71# Web research72$CLI --compact tasks send "$TASK" --message "Search for recent CRISPR delivery methods and summarize" --wait7374# Literature review75$CLI --compact tasks send "$TASK" --message "Search PubMed for BRCA1 DNA repair papers from 2024" --wait7677# Drug target research78$CLI --compact tasks send "$TASK" --message "Search for compounds targeting EGFR, cross-reference with active clinical trials" --wait7980# Scientific computation81$CLI --compact tasks send "$TASK" --message "Use ToolUniverse to run AlphaFold on this sequence: MVLSPADKTNVKAAWGKVGA" --stream8283# Memory84$CLI --compact tasks send "$TASK" --message "Remember that our lab uses Q5 polymerase for all high-fidelity PCR at 62C" --wait8586# Reference existing files87$CLI --compact tasks send "$TASK" --message "Read the attached template and generate a new version" --file-refs "<FILE_ID>" --wait88```8990---91> Source: [Elnora-AI/elnora-cli](https://github.com/Elnora-AI/elnora-cli) — distributed by [TomeVault](https://tomevault.io).92<!-- tomevault:4.0:skill_md:2026-06-16 -->
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