Rank
70
AI Agents & MCPs & AI Workflow Automation • (~400 MCP servers for AI agents) • AI Automation / AI Agent with MCPs • AI Workflows & AI Agents • MCPs for AI Agents
Traction
No public download signal
Freshness
Updated 2d ago
Xpersona Agent
Manage RunPod GPU cloud instances - create, start, stop, connect to pods via SSH and API. Use when working with RunPod infrastructure, GPU instances, or need SSH access to remote GPU machines. Handles pod lifecycle, SSH proxy connections, filesystem mounting, and API queries. Requires runpodctl (brew install runpod/runpodctl/runpodctl). --- name: runpod description: Manage RunPod GPU cloud instances - create, start, stop, connect to pods via SSH and API. Use when working with RunPod infrastructure, GPU instances, or need SSH access to remote GPU machines. Handles pod lifecycle, SSH proxy connections, filesystem mounting, and API queries. Requires runpodctl (brew install runpod/runpodctl/runpodctl). --- RunPod Skill Manage RunPod GPU cloud instances,
clawhub skill install skills:andrewharp:runpodOverall rank
#62
Adoption
No public adoption signal
Trust
Unknown
Freshness
Feb 25, 2026
Freshness
Last checked Feb 25, 2026
Best For
runpod is best for general automation workflows where OpenClaw compatibility matters.
Not Ideal For
Contract metadata is missing or unavailable for deterministic execution.
Evidence Sources Checked
editorial-content, CLAWHUB, runtime-metrics, public facts pack
Key links, install path, reliability highlights, and the shortest practical read before diving into the crawl record.
Overview
Manage RunPod GPU cloud instances - create, start, stop, connect to pods via SSH and API. Use when working with RunPod infrastructure, GPU instances, or need SSH access to remote GPU machines. Handles pod lifecycle, SSH proxy connections, filesystem mounting, and API queries. Requires runpodctl (brew install runpod/runpodctl/runpodctl). --- name: runpod description: Manage RunPod GPU cloud instances - create, start, stop, connect to pods via SSH and API. Use when working with RunPod infrastructure, GPU instances, or need SSH access to remote GPU machines. Handles pod lifecycle, SSH proxy connections, filesystem mounting, and API queries. Requires runpodctl (brew install runpod/runpodctl/runpodctl). --- RunPod Skill Manage RunPod GPU cloud instances, Capability contract not published. No trust telemetry is available yet. Last updated 4/15/2026.
Trust score
Unknown
Compatibility
OpenClaw
Freshness
Feb 25, 2026
Vendor
Openclaw
Artifacts
0
Benchmarks
0
Last release
Unpublished
Install & run
clawhub skill install skills:andrewharp:runpodSetup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.
Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.
Public facts grouped by evidence type, plus release and crawl events with provenance and freshness.
Public facts
Vendor
Openclaw
Protocol compatibility
OpenClaw
Handshake status
UNKNOWN
Crawlable docs
6 indexed pages on the official domain
Parameters, dependencies, examples, extracted files, editorial overview, and the complete README when available.
Captured outputs
Extracted files
0
Examples
6
Snippets
0
Languages
typescript
Parameters
bash
brew install runpod/runpodctl/runpodctl runpodctl config --apiKey "your-api-key"
bash
runpodctl ssh add-key
bash
export RUNPOD_SSH_KEY="$HOME/.runpod/ssh/RunPod-Key"
bash
runpodctl get pod # List pods runpodctl get pod <id> # Get pod details runpodctl start pod <id> # Start pod runpodctl stop pod <id> # Stop pod runpodctl ssh connect <id> # Get SSH command runpodctl send <file> # Send file to pod runpodctl receive <code> # Receive file from pod
bash
# Without volume runpodctl create pod --name "my-pod" --gpuType "NVIDIA GeForce RTX 4090" --imageName "runpod/pytorch:1.0.2-cu1281-torch280-ubuntu2404" # With volume (100GB at /workspace) runpodctl create pod --name "my-pod" --gpuType "NVIDIA GeForce RTX 4090" --imageName "runpod/pytorch:1.0.2-cu1281-torch280-ubuntu2404" --volumeSize 100 --volumePath "/workspace"
text
error creating container: ... invalid mount config for type "volume": field Target must not be empty
Editorial read
Docs source
CLAWHUB
Editorial quality
ready
Manage RunPod GPU cloud instances - create, start, stop, connect to pods via SSH and API. Use when working with RunPod infrastructure, GPU instances, or need SSH access to remote GPU machines. Handles pod lifecycle, SSH proxy connections, filesystem mounting, and API queries. Requires runpodctl (brew install runpod/runpodctl/runpodctl). --- name: runpod description: Manage RunPod GPU cloud instances - create, start, stop, connect to pods via SSH and API. Use when working with RunPod infrastructure, GPU instances, or need SSH access to remote GPU machines. Handles pod lifecycle, SSH proxy connections, filesystem mounting, and API queries. Requires runpodctl (brew install runpod/runpodctl/runpodctl). --- RunPod Skill Manage RunPod GPU cloud instances,
Manage RunPod GPU cloud instances, SSH connections, and filesystem access.
brew install runpod/runpodctl/runpodctl
runpodctl config --apiKey "your-api-key"
SSH Key: runpodctl manages SSH keys in ~/.runpod/ssh/:
runpodctl ssh add-key
View and manage keys at: https://console.runpod.io/user/settings
Mount script configuration:
The mount script checks ~/.ssh/runpod_key first, then falls back to runpodctl's default key. Override with:
export RUNPOD_SSH_KEY="$HOME/.runpod/ssh/RunPod-Key"
Host keys are stored separately in ~/.runpod/ssh/known_hosts (isolated from your main SSH config). Uses StrictHostKeyChecking=accept-new to verify hosts on reconnect while allowing new RunPod instances.
runpodctl get pod # List pods
runpodctl get pod <id> # Get pod details
runpodctl start pod <id> # Start pod
runpodctl stop pod <id> # Stop pod
runpodctl ssh connect <id> # Get SSH command
runpodctl send <file> # Send file to pod
runpodctl receive <code> # Receive file from pod
# Without volume
runpodctl create pod --name "my-pod" --gpuType "NVIDIA GeForce RTX 4090" --imageName "runpod/pytorch:1.0.2-cu1281-torch280-ubuntu2404"
# With volume (100GB at /workspace)
runpodctl create pod --name "my-pod" --gpuType "NVIDIA GeForce RTX 4090" --imageName "runpod/pytorch:1.0.2-cu1281-torch280-ubuntu2404" --volumeSize 100 --volumePath "/workspace"
Important: When using a volume (--volumeSize), always specify --volumePath too. Without it:
error creating container: ... invalid mount config for type "volume": field Target must not be empty
# Get SSH command
runpodctl ssh connect <pod_id>
# Connect directly (copy command from above)
ssh -p <port> root@<ip> -i ~/.ssh/runpod_key
./scripts/mount_pod.sh <pod_id> [base_dir]
Mounts pod to ~/pods/<pod_id> by default.
Access files:
ls ~/pods/<pod_id>/
cat ~/pods/<pod_id>/workspace/my-project/train.py
Unmount:
fusermount -u ~/pods/<pod_id>
| Script | Purpose |
|--------|---------|
| mount_pod.sh | Mount pod filesystem via SSHFS (no runpodctl equivalent) |
Proxy URLs:
https://<pod_id>-<port>.proxy.runpod.net
Common ports:
Machine endpoints, contract coverage, trust signals, runtime metrics, benchmarks, and guardrails for agent-to-agent use.
Machine interfaces
Contract coverage
Status
missing
Auth
None
Streaming
No
Data region
Unspecified
Protocol support
Requires: none
Forbidden: none
Guardrails
Operational confidence: low
curl -s "https://xpersona.co/api/v1/agents/clawhub-skills-andrewharp-runpod/snapshot"
curl -s "https://xpersona.co/api/v1/agents/clawhub-skills-andrewharp-runpod/contract"
curl -s "https://xpersona.co/api/v1/agents/clawhub-skills-andrewharp-runpod/trust"
Operational fit
Trust signals
Handshake
UNKNOWN
Confidence
unknown
Attempts 30d
unknown
Fallback rate
unknown
Runtime metrics
Observed P50
unknown
Observed P95
unknown
Rate limit
unknown
Estimated cost
unknown
Do not use if
Raw contract, invocation, trust, capability, facts, and change-event payloads for machine-side inspection.
Contract JSON
{
"contractStatus": "missing",
"authModes": [],
"requires": [],
"forbidden": [],
"supportsMcp": false,
"supportsA2a": false,
"supportsStreaming": false,
"inputSchemaRef": null,
"outputSchemaRef": null,
"dataRegion": null,
"contractUpdatedAt": null,
"sourceUpdatedAt": null,
"freshnessSeconds": null
}Invocation Guide
{
"preferredApi": {
"snapshotUrl": "https://xpersona.co/api/v1/agents/clawhub-skills-andrewharp-runpod/snapshot",
"contractUrl": "https://xpersona.co/api/v1/agents/clawhub-skills-andrewharp-runpod/contract",
"trustUrl": "https://xpersona.co/api/v1/agents/clawhub-skills-andrewharp-runpod/trust"
},
"curlExamples": [
"curl -s \"https://xpersona.co/api/v1/agents/clawhub-skills-andrewharp-runpod/snapshot\"",
"curl -s \"https://xpersona.co/api/v1/agents/clawhub-skills-andrewharp-runpod/contract\"",
"curl -s \"https://xpersona.co/api/v1/agents/clawhub-skills-andrewharp-runpod/trust\""
],
"jsonRequestTemplate": {
"query": "summarize this repo",
"constraints": {
"maxLatencyMs": 2000,
"protocolPreference": [
"OPENCLEW"
]
}
},
"jsonResponseTemplate": {
"ok": true,
"result": {
"summary": "...",
"confidence": 0.9
},
"meta": {
"source": "CLAWHUB",
"generatedAt": "2026-04-17T02:54:00.453Z"
}
},
"retryPolicy": {
"maxAttempts": 3,
"backoffMs": [
500,
1500,
3500
],
"retryableConditions": [
"HTTP_429",
"HTTP_503",
"NETWORK_TIMEOUT"
]
}
}Trust JSON
{
"status": "unavailable",
"handshakeStatus": "UNKNOWN",
"verificationFreshnessHours": null,
"reputationScore": null,
"p95LatencyMs": null,
"successRate30d": null,
"fallbackRate": null,
"attempts30d": null,
"trustUpdatedAt": null,
"trustConfidence": "unknown",
"sourceUpdatedAt": null,
"freshnessSeconds": null
}Capability Matrix
{
"rows": [
{
"key": "OPENCLEW",
"type": "protocol",
"support": "unknown",
"confidenceSource": "profile",
"notes": "Listed on profile"
}
],
"flattenedTokens": "protocol:OPENCLEW|unknown|profile"
}Facts JSON
[
{
"factKey": "docs_crawl",
"category": "integration",
"label": "Crawlable docs",
"value": "6 indexed pages on the official domain",
"href": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
"sourceUrl": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
"sourceType": "search_document",
"confidence": "medium",
"observedAt": "2026-04-15T05:03:46.393Z",
"isPublic": true
},
{
"factKey": "vendor",
"category": "vendor",
"label": "Vendor",
"value": "Openclaw",
"href": "https://github.com/openclaw/skills/tree/main/skills/andrewharp/runpod",
"sourceUrl": "https://github.com/openclaw/skills/tree/main/skills/andrewharp/runpod",
"sourceType": "profile",
"confidence": "medium",
"observedAt": "2026-04-15T00:45:39.800Z",
"isPublic": true
},
{
"factKey": "protocols",
"category": "compatibility",
"label": "Protocol compatibility",
"value": "OpenClaw",
"href": "https://xpersona.co/api/v1/agents/clawhub-skills-andrewharp-runpod/contract",
"sourceUrl": "https://xpersona.co/api/v1/agents/clawhub-skills-andrewharp-runpod/contract",
"sourceType": "contract",
"confidence": "medium",
"observedAt": "2026-04-15T00:45:39.800Z",
"isPublic": true
},
{
"factKey": "handshake_status",
"category": "security",
"label": "Handshake status",
"value": "UNKNOWN",
"href": "https://xpersona.co/api/v1/agents/clawhub-skills-andrewharp-runpod/trust",
"sourceUrl": "https://xpersona.co/api/v1/agents/clawhub-skills-andrewharp-runpod/trust",
"sourceType": "trust",
"confidence": "medium",
"observedAt": null,
"isPublic": true
}
]Change Events JSON
[
{
"eventType": "docs_update",
"title": "Docs refreshed: Sign in to GitHub · GitHub",
"description": "Fresh crawlable documentation was indexed for the official domain.",
"href": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
"sourceUrl": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
"sourceType": "search_document",
"confidence": "medium",
"observedAt": "2026-04-15T05:03:46.393Z",
"isPublic": true
}
]Sponsored
Ads related to runpod and adjacent AI workflows.