Open-Simulation-Environment-For-ERCOT
Open battery-storage environment for the post-RTC+B ERCOT market: real-time and day-ahead (two-settlement), exact upper bounds, reproducible baselines
What XERJ indexed
Snapshot
The whole repository at commit 921352e986 (2026-10-29). main is 10 commits ahead.
Selected work
“Add reproducible CPU demo and offline ECRS tooling”. 27 files, 3,045 lines in results, review, rtcb_gym.
Licence
The repository
LICENSE file checked at the pinned commit; the author agreed to inclusion.
The XERJ corpus
The author agreed by email on 2026-10-30. Same terms as the repository. Answers name the repo, the commit and the file:line.
selected for the XERJ Corpus Hublicence clearedsuggested use: adapt with attribution
battery-storageelectricity-marketsenergy-arbitrageenergy-storageercotgymnasiumreinforcement-learning
Example questions
- How does Open-Simulation-Environment-For-ERCOT implement battery-storage?
- Where does Open-Simulation-Environment-For-ERCOT handle “Add reproducible CPU demo and offline ECRS tooling”?
- What does results do in Open-Simulation-Environment-For-ERCOT?
Inside the indexed corpus
- 92 files, 1.5 MB in total, about 17.1 KB per file.
- The selected commit changed 27 of those files (29.3%).
- On GitHub since 2026-10-26, last push 2026-10-29, 25 commits on main.
- The pin is 10 commits behind main; the corpus answers from the pinned code, not the newest.
Licence on GitHub and in the corpus
GitHub reported MIT for Aurora-Zhang-27/Open-Simulation-Environment-For-ERCOT on 2026-10-31, and the LICENSE file at commit 921352e986 was reviewed as MIT. They match, so answers from this corpus carry the same terms as the live repository.
Contributors
Yin Zhang (@Aurora-Zhang-27) has 1 selected repository on the hub.
Using XERJ with Open-Simulation-Environment-For-ERCOT
- Search an OpenAPI spec so an agent can find endpoints The hub files it under API design and specification.
- Index a reference library for a coding agent
- ripgrep vs a code index for coding agents: 30 tasks
- Best MCP servers for local code search in 2026, compared
The prompt
Paste it into your AI agent. It clones Aurora-Zhang-27/Open-Simulation-Environment-For-ERCOT at the pinned commit and indexes it on your machine.
Search the GitHub repository Aurora-Zhang-27/Open-Simulation-Environment-For-ERCOT with XERJ (https://hub.xerj.org/corpus/aurora-zhang-27--open-simulation-environment-for-ercot). Run these in a shell, in order, and check each result before the next: 1. xerj --help (success: it prints usage). If xerj is missing: curl -fsSL https://xerj.org/get | sh 2. git clone https://github.com/Aurora-Zhang-27/Open-Simulation-Environment-For-ERCOT Open-Simulation-Environment-For-ERCOT && git -C Open-Simulation-Environment-For-ERCOT checkout 921352e9864cd78cf6e4f2657a2672b2c2d374ae 3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data 4. xerj autoindex ./Open-Simulation-Environment-For-ERCOT --url http://127.0.0.1:9200 --prefix open-simulation-environm --progress plain 5. xerj autoindex map --url http://127.0.0.1:9200 Then answer my question from the indexed files and cite the ax_path of every hit. Query syntax: https://xerj.org/llms.txt Licence: MIT. Keep the copyright notice and credit the authors.
Related
Yin ZhangAPI design and specification corporajamilhammoudeh/vbarSaiSampathKedari/Deep-Reinforcement-LearningFarama-Foundation/PettingZoo
Stats: GitHub API, fetched 2026-10-31. Snapshot: the git tree at the pinned commit. Selected work and consent: the XERJ registry.