harnessopt
Dependency-free Python CLI to audit and compact AI coding-agent harness configurations, MCP servers, and context budgets
What XERJ indexed
Snapshot
The whole repository at commit b1c1c3cac5. It is the newest commit on main.
Selected work
Licence
The repository
LICENSE file checked at the pinned commit; the author agreed to inclusion.
The XERJ corpus
The owner added it on hub.xerj.org after signing in with GitHub, on 2026-10-29. 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
ai-agentsclideveloper-toolsmcppython
Example questions
- How does harnessopt implement ai-agents?
- Show the cli code in harnessopt.
The prompt
Paste it into your AI agent. It clones Amz34/harnessopt at the pinned commit and indexes it on your machine.
Search the GitHub repository Amz34/harnessopt with XERJ (https://hub.xerj.org/corpus/amz34--harnessopt). 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/Amz34/harnessopt harnessopt && git -C harnessopt checkout b1c1c3cac5e0e60b5726b4ccb208a81ebb962de7 3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data 4. xerj autoindex ./harnessopt --url http://127.0.0.1:9200 --prefix harnessopt --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
Aamir ZameerAI, prompts and agents corporatexiosimonw-llmaidersai-sakalam/pyfirstaiddjunekz/termux-app-storeMUdevelops/AIRegistry
Stats: GitHub API, fetched 2026-10-29. Snapshot: the git tree at the pinned commit. Selected work and consent: the XERJ registry.