vbar
Headless benchmark for spacecraft rendezvous and proximity-operations controllers (classical, RL and LLM) with validated orbital dynamics
What XERJ indexed
Snapshot
The whole repository at commit 3905594a40 (2026-10-21). main is 313 commits ahead.
Selected work
“added the scenario catalogue: specs, seeds, suites, target modes, fiv…”. 20 files, 7,325 lines in src/vbar, tests.
Licence
The repository
LICENSE file checked at the pinned commit; the author agreed to inclusion.
The XERJ corpus
The author agreed by email on 2026-10-24. 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
astrodynamicsbenchmarkguidance-navigation-controlgymnasiumllm-agentsorbital-mechanicsproximity-operationspython
Example questions
- How does vbar implement astrodynamics?
- What does src/vbar do in vbar?
- Show the benchmark code in vbar.
Inside the indexed corpus
- 191 files, 1.6 MB in total, about 8.6 KB per file.
- The selected commit changed 20 of those files (10.5%).
- Languages by size: Python 99.9%, MATLAB 0.1%.
- On GitHub since 2026-10-16, last push 2026-10-31, 687 commits on main.
- The pin is 313 commits behind main; the corpus answers from the pinned code, not the newest.
Licence on GitHub and in the corpus
GitHub reported MIT for jamilhammoudeh/vbar on 2026-10-31, and the LICENSE file at commit 3905594a40 was reviewed as MIT. They match, so answers from this corpus carry the same terms as the live repository.
Contributors
Jamil Hammoudeh (@jamilhammoudeh) has 1 selected repository on the hub.
Using XERJ with vbar
- RAG without a vector database: one hybrid index The hub files it under AI, prompts and agents.
- Best grep alternative for AI coding agents (2026)
- Ask questions about a GitHub repo without cloning it
- Index a reference library for a coding agent
The prompt
Paste it into your AI agent. It clones jamilhammoudeh/vbar at the pinned commit and indexes it on your machine.
Search the GitHub repository jamilhammoudeh/vbar with XERJ (https://hub.xerj.org/corpus/jamilhammoudeh--vbar). 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/jamilhammoudeh/vbar vbar && git -C vbar checkout 3905594a40d27835d71e9e127af64d8139fa139b 3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data 4. xerj autoindex ./vbar --url http://127.0.0.1:9200 --prefix vbar --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
Jamil HammoudehAI, prompts and agents corporainspect-aiplan-and-actagentbenchsacktock/MASA-Safe-RLSean-ZhiXin-Li/spacecraft-ai-controllerCommonstackAI/TwinRouterBench
Stats: GitHub API, fetched 2026-10-31. Snapshot: the git tree at the pinned commit. Selected work and consent: the XERJ registry.