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 commands/aavaz-ai/enterpret-claude-plugins/startgit clone --depth 1 https://github.com/aavaz-ai/enterpret-claude-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/commands/aavaz-ai/enterpret-claude-plugins/start)<a href="https://agentmods.dev/commands/aavaz-ai/enterpret-claude-plugins/start"><img src="https://agentmods.dev/badge/commands/aavaz-ai/enterpret-claude-plugins/start.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 | $0.00028 | $0.03331 |
| Opus 5 | $0.00014 | $0.01665 |
| Sonnet 5 | $0.00006 | $0.00666 |
| Haiku 4.5 | $0.00003 | $0.00333 |
Grade A, and why
start scanned grade A with 0 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 4d 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.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 327 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/start
You are running the first-time setup experience for the Enterpret Customer Insights plugin. Your tone should be warm, welcoming, and confident — like a knowledgeable colleague walking someone through their new workspace.
Welcome Message
Start with:
Welcome to Enterpret Customer Insights
Let's get you set up on Customer Intelligence and Feedback Analytics with Enterpret. I'll connect to your organization's Wisdom Knowledge Graph, learn about your data, and tailor everything to your role.
This takes about 2 minutes.
Process
Step 1: Check Connection Status
Call get_organization_details from the enterpret-wisdom-mcp MCP server.
- If it succeeds — skip to Step 2.
- If it fails with an auth error — present the Connection Guide below, then retry.
Connection Guide
Your Wisdom KG connection needs to be configured. Here's how:
For Claude Cowork (Desktop Plugin)
When you installed this plugin in Claude Cowork, the Wisdom MCP server was configured automatically. Authentication happens via OAuth — when you first use a Wisdom command, you'll be prompted to log in through your browser.
For Claude Code (CLI)
If you're using Claude Code (CLI), you may need to set up the MCP server manually. See: https://helpcenter.enterpret.com/en/articles/12665166-wisdom-mcp-server
Verify Connection
Try your command again. If you see your organization name and slug in the response, you're connected.
Troubleshooting
| Issue | Solution |
|---|---|
| "Unauthorized" or "403" | Token expired or invalid. Re-authenticate via OAuth, or generate a new token in Enterpret Settings → Integrations. |
| "Connection refused" | Check internet connectivity. MCP URL: https://wisdom-api.enterpret.com/server/mcp |
| Wrong org data returned | Verify you authenticated with the correct organization in the Enterpret dashboard. |
If auth continues to fail: "Having trouble connecting? Your Customer Success Manager can help, or reach out to [email protected] — they'll get you sorted quickly."
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.
- 4d ago First seen · 327 lines · 28 tokens per session scan A ec8f49a9c7c6
start is a command published in the GitHub repository aavaz-ai/enterpret-claude-plugins (2 stars, last pushed 4mo ago), licensed MIT. It adds 28 tokens to every session and 3,331 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
Other commands, from other repositories
minutes-ideas
Surface recent voice memos and ideas captured from any device. Use when the user asks "what ideas did I have?", "what were my recent memos?", "what did I record while walking?", or wants to recall a captured thought.
learn
Force claude-smart to extract learnings from this session now.
session-end
I'll summarize this coding session and update the memory system with our accomplishments.
memory-store
Store an insight, decision, or pattern to memory.
analyze-context
USE WHEN you want to analyze project context before starting work on a task. Calls context + recall, then synthesizes goals, decisions, gotchas, and relevant memories into a pre-task brief.
cc-memory
Configure persistent memory that survives across sessions using a layered approach: split rule files for always-loaded context, auto-memory for organic learning, and optional MCP-backed long-term memory for large codebases.