14GitHub stars
What XERJ indexed
Selected work

“Clarify sharing readiness and bound local corpus ingestion”. 5 files, 198 lines in tests, tools, the project root.
Licence
The repository
Apache-2.0
Checked by a person at the pinned commit.
The XERJ corpus
Apache-2.0, with credit
The author agreed by email on 2026-10-19. Same terms as the repository. Answers name the repo, the commit and the file:line.
in licence reviewnot in the hub yetsuggested use: adapt with attribution
agentsagents-mdai-agentscontent-designmcpstyle-guidetemplate-repositorywriting
Example questions
- How does chalkline implement agents?
- Where does chalkline handle “Clarify sharing readiness and bound local corpus ingestion”?
- What does tools do in chalkline?
The prompt
Paste it into your AI agent. It clones block/chalkline at the pinned commit and indexes it on your machine.
Search the GitHub repository block/chalkline with XERJ (https://hub.xerj.org/corpus/block--chalkline). 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/block/chalkline chalkline && git -C chalkline checkout 45a4735213a28267a008aa10bb8cddfb624e5d06 3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data 4. xerj autoindex ./chalkline --url http://127.0.0.1:9200 --prefix chalkline --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: Apache-2.0. Keep the copyright notice and credit the authors.
Related
David HamiltonAI, prompts and agents corporaagentscopeagnofastmcpkushalBanda/AI-Engineeragentprojectcontext/apxgeminik23/ai-agents
Selected work and consent: the XERJ registry.