Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add skills/elnora-ai/elnora-plugins/elnora-agentnpx skills add Elnora-AI/elnora-plugins --skill elnora-agentgit clone --depth 1 https://github.com/Elnora-AI/elnora-pluginsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/elnora-ai/elnora-plugins/elnora-agent)<a href="https://agentmods.dev/skills/elnora-ai/elnora-plugins/elnora-agent"><img src="https://agentmods.dev/badge/skills/elnora-ai/elnora-plugins/elnora-agent.svg" alt="Measured on agentmods" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00152 | $0.01202 |
| Opus 5 | $0.00076 | $0.00601 |
| Sonnet 5 | $0.00030 | $0.00240 |
| Haiku 4.5 | $0.00015 | $0.00120 |
Grade C, and why
elnora-agent scanned grade C with 2 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 5d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Downloads and executes remote codehighSupply chain
curl | sh runs whatever the server returns today, which is not necessarily what it returned when this was reviewed.
- CLI: `curl -fsSL https://cli.elnora.ai/install.sh | bash` (macOS/Linux) Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
- CLI: `curl -fsSL https://cli.elnora.ai/install.sh | bash` (macOS/Linux) Copies of this mod
1 near-identical copy found in the catalogue:
- elnora-agent — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 97 lines — stays where its author put it; the contents beside it link to each section on GitHub.
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) orirm https://cli.elnora.ai/install.ps1 | iex(Windows) - MCP:
claude mcp add elnora --transport http --scope user https://mcp.elnora.ai/mcpthen/mcpto 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 this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 5d ago First seen · 97 lines · 152 tokens per session scan C 78800314ec29
elnora-agent is a skill published in the GitHub repository Elnora-AI/elnora-plugins (4 stars, last pushed yesterday), licensed Apache-2.0. It adds 152 tokens to every session and 1,202 once invoked, about $0.0008 per session on Opus 5. A static security scan graded it C with 2 findings (downloads and executes remote code, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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