Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Paid client skill for Esri Workflow Smell Detector via x402 (Base/USDC). Use when you want to run a deterministic automation preflight scan on an ArcGIS Pro project snapshot by calling https://api.x402layer.cc/e/esri-smells (HTTP 402 payment flow).
Paid client skill for Esri Workflow Smell Detector via x402 (Base/USDC). Use when you want to run a deterministic automation preflight scan on an ArcGIS Pro project snapshot by calling https://api.x402layer.cc/e/esri-smells (HTTP 402 payment flow).
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
This skill helps an agent call the paid Smell Detector endpoint (x402 pay-per-request) using Base/USDC. It does not host the service.
The expected input, project_snapshot, is the JSON artifact produced by the open-source ArcGIS Pro CLI (arcgispro-cli). Recommended workflow: Use arcgispro-cli to export a project snapshot/context artifact (safe-by-default, no raw data) Send that JSON to this paid endpoint for a deterministic preflight risk report Use the report to decide whether to proceed with automation (ArcPy/GP/AGOL) and what to fix first This keeps a clean boundary: Open core (arcgispro-cli) answers: what is in the project Paid layer (this service) answers: how risky is it to automate, and why
POST https://api.x402layer.cc/e/esri-smells
Required JSON body: { "project_snapshot": { }, "constraints": { "target": "arcpy" | "geoprocessing" | "agol", "deployment": "desktop" | "server", "max_runtime_sec": 300 } }
summary risk_score (0.0โ1.0) issues[] flags version requestHash
Stateless No external network calls (beyond the paid endpoint itself) Same input produces same output Safe to cache by requestHash
x402 pay-per-request on Base Target price: $0.001 per call
Install deps: pip install -r {baseDir}/requirements.txt Set wallet env (consumer wallet): export PRIVATE_KEY="0x..." export WALLET_ADDRESS="0x..." Call the endpoint: python {baseDir}/scripts/call_smells.py path/to/project_snapshot.json
The script implements the x402 HTTP 402 challenge flow and retries with X-Payment. If the endpoint is unreachable or the network rejects the payment, surface the error as-is.
Code helpers, APIs, CLIs, browser automation, testing, and developer operations.
Largest current source with strong distribution and engagement signals.