Individual skill

evo-grid-dispatch-operator

End-to-end DC Optimal Power Flow with spinning reserve co-optimization. Parses MATPOWER JSON network data, builds DC power flow model with bus voltage angles, formulates and solves the DCOPF+reserve QP/LP via cvxpy (CLARABEL solver), computes line loading and operating margins, and produces a structured report.json.

tasks-evolved/grid-dispatch-operator/environment/skills/evo-grid-dispatch-operator/SKILL.md

Read pinned source

Source commit 84ca182da055fafb6453dcec4a6defdbbfd987c1

What was checked

Matches the observed repository HEAD: Yes
Scanner rules are current: No
Repository scan complete: No
Skill scan complete: No
Observed behavior: Not checked yet
Last checked: Nov 6, 2026

These are observations at the recorded commit, not a guarantee of safety. Review the source before running it.

Install this skill

Choose an agent in your Stack or copy a command below. Commands fetch the pinned commit and copy only this skill directory. Existing destinations are refused. Copying a command does not install anything.

An install command is unavailable: current rules, complete repository and skill scans, an eligible behavior level and a permitted license are required.

Repository context

Repository stars (not skill ratings): 97
Repository last updated: Sep 10, 2026
License: Apache-2.0

Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.

agent-skills Repository topic
ai-agents Repository topic
llm-agents Repository topic
open-world Repository topic
self-evolving-agents Repository topic
data Derived category
testing Derived category
testing-browser Derived category

Files and excerpt

File metadata and permitted, redacted excerpts come from the recorded scan. Source links are pinned to that commit.

Browse files

SKILL.mdcore · 3,306 bytes
SKILL.mdcore · 3,306 bytes
scripts/data_loader.pyruns · 1,862 bytes
scripts/network_model.pyruns · 1,913 bytes
scripts/optimizer.pyruns · 4,714 bytes
scripts/report_generator.pyruns · 4,390 bytes
scripts/solve.pyruns · 4,535 bytes

Read excerpt


# evo-grid-dispatch-operator

Solves DC Optimal Power Flow with spinning reserve co-optimization from MATPOWER JSON data and produces a structured dispatch report.

## Quick Start — Full Pipeline

```python
import subprocess, sys
subprocess.check_call([sys.executable, "-m", "pip", "install", "cvxpy", "clarabel", "-q"])

import sys as _sys
_sys.path.insert(0, '/app/environment/skills/evo-grid-dispatch-operator/scripts')
from solve import main
main("/root/network.json", "/root/report.json")