Borrowing it
Nothing to install: this file belongs to donbr/lifesciences-research. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/donbr/lifesciences-research/main/.claude/commands/graphiti-health.mdgit clone --depth 1 https://github.com/donbr/lifesciences-researchWrote 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/donbr/lifesciences-research/graphiti-health)<a href="https://agentmods.dev/commands/donbr/lifesciences-research/graphiti-health"><img src="https://agentmods.dev/badge/commands/donbr/lifesciences-research/graphiti-health/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/commands/donbr/lifesciences-research/graphiti-health"><img src="https://agentmods.dev/badge/commands/donbr/lifesciences-research/graphiti-health.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 | $0.00015 | $0.02509 |
| Opus 5 | $0.00008 | $0.01255 |
| Sonnet 5 | $0.00003 | $0.00502 |
| Haiku 4.5 | $0.00002 | $0.00251 |
Grade A, and why
graphiti-health scanned grade A with 1 finding 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 12d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
- Verify port 8002 is accessible: `curl http://localhost:8002/health` How it starts
The opening of the file, as written. The whole thing — 315 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Display unified real-time health status for Neo4j Aura and Graphiti services.
Instructions
Execute these health checks to provide a comprehensive system status report. Report results with color-coded indicators.
Check 1: Graphiti Server Health
mcp__graphiti-aura__get_status()
Expected Response:
{
"status": "ok",
"message": "Graphiti MCP server is running and connected to neo4j database"
}
Health Indicators:
- ✅
status == "ok"- Server healthy and database connected - ❌ Any other status or error - Server unavailable or database connection failed
Check 2: Neo4j Aura Instance Health
# First, get available instances
instances = mcp__neo4j-aura-management__list_instances()
# Then check health of primary instance (use instance ID from list)
mcp__neo4j-aura-management__get_instance_details(instance_ids=["cd339b4f"])
Expected Response:
{
"instances": [{
"id": "cd339b4f",
"name": "dwb",
"status": "running",
"memory": "1GB",
"graph_nodes": 3284,
"graph_relationships": 12614,
"connection_url": "neo4j+s://cd339b4f.databases.neo4j.io",
"cloud_provider": "gcp",
"region": "us-central1"
}]
}
Health Indicators:
- ✅
status == "running"AND nodes/relationships present - Database healthy and operational - ⚠️
status == "running"AND memory == "1GB" AND nodes > 5000 - May need scaling - ⚠️
status == "paused"- Instance paused (manual intervention needed) - ❌
status != "running"OR connection errors - Database unavailable
Check 3: Local Docker Development Environment (Optional)
# Check if local Docker Neo4j is running
docker ps --format "table {{.Names}}\t{{.Ports}}\t{{.Status}}" | grep -E "(neo4j|7474|7687|graphiti)"
# Check graphiti-docker MCP server status
mcp__graphiti-docker__get_status()
# Query episodes in local instance
mcp__graphiti-docker__get_episodes(max_episodes=10)
Expected Response:
- Docker containers running and healthy
graphiti-dockerMCP server connected to local Neo4j- Episodes list (may be empty for fresh dev environment)
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.
- 12d ago First seen · 315 lines · 15 tokens per session scan A c26e26e47425
graphiti-health is a command published in the GitHub repository donbr/lifesciences-research (7 stars, last pushed 9d ago), licensed MIT. It adds 15 tokens to every session and 2,509 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 1 finding (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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