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 skills add Elnora-AI/elnora-cli --skill elnora-tasksgit clone --depth 1 https://github.com/Elnora-AI/elnora-cliWrote 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-cli/elnora-tasks)<a href="https://agentmods.dev/skills/elnora-ai/elnora-cli/elnora-tasks"><img src="https://agentmods.dev/badge/skills/elnora-ai/elnora-cli/elnora-tasks/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/elnora-ai/elnora-cli/elnora-tasks"><img src="https://agentmods.dev/badge/skills/elnora-ai/elnora-cli/elnora-tasks.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00116 | $0.02682 |
| Opus 5.5 | $0.00046 | $0.01073 |
| Sonnet 5.5 | $0.00023 | $0.00536 |
| Haiku 4.5 | $0.00012 | $0.00268 |
Grade C, and why
elnora-tasks 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 1mo 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) This is a copy
100% identical to elnora-tasks — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 245 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Elnora Tasks
Tasks are conversations with the Elnora AI Agent. Send messages to generate protocols, iterate on outputs, and reference uploaded files.
Tool Access
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 <group> <action> .... Verify with elnora --version. CLI uses ~5× fewer tokens than MCP.
Option B — MCP tools (when CLI isn't installed)
Look for tools prefixed mcp__elnora__ in your available tools. Call them with structured parameters (camelCase — e.g. projectId, taskId, not project-id). See the "MCP Tool Names" table below for the mapping.
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. Valid commands are in the Commands section; their MCP equivalents are in the MCP Tool Names table.
Invocation
CLI="elnora"
Response Retrieval
The Elnora backend processes agent responses asynchronously. When you send a message, the POST returns immediately with the user message echo — the AI response arrives separately. Use --stream or --wait to collect it.
| Mode | Flag | Behavior | Timeout | Use when |
|---|---|---|---|---|
| Streaming | --stream |
Real-time SSE token-by-token output | 300s | Default choice. Best UX, longest timeout, pipeable |
| Polling | --wait |
Auto-polls every 2s until assistant message appears | 120s | You need the JSON message object, not real-time output |
| Fire-and-forget | (no flag) | Returns immediately, no response | — | You'll check tasks messages manually later |
Recommended: Always use --stream unless you have a specific reason not to. Content tokens go to stdout, status events (think, tool_start, tool_end, progress) go to stderr — so output is pipeable: elnora tasks send ... --stream > response.txt.
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.
- 1mo ago First seen · 245 lines · 116 tokens per session scan C 04460076d8b4
elnora-tasks is a skill published in the GitHub repository Elnora-AI/elnora-cli (4 stars, last pushed today), licensed Apache-2.0. It adds 116 tokens to every session and 2,682 once invoked, about $0.0005 per session on Opus 5.5. A static security scan graded it C with 2 findings (downloads and executes remote code, makes network calls). It is 100% identical to elnora-tasks, differing in 0 lines, and is treated as a copy.
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