tipatask
The Project Operating Layer for AI Coding Agents
What XERJ indexed
Selected work
“TPT567: Surface agent-detection diagnostics; add probe:agent-detect”. 48 files, 1,700 lines in src/client, src/server, scripts.
Licence
The repository
Checked by a person at the pinned commit.
The XERJ corpus
The author agreed by email on 2026-10-23. 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
ai-agent-toolsai-agentsclaudeclaude-codeclaude-skillscodexdeveloper-toolselectronjs
Example questions
- How does tipatask implement ai-agent-tools?
- Where does tipatask handle “TPT567: Surface agent-detection diagnostics; add probe:agent-detect”?
- What does src/client do in tipatask?
The prompt
Paste it into your AI agent. It clones Tipatask/tipatask at the pinned commit and indexes it on your machine.
Search the GitHub repository Tipatask/tipatask with XERJ (https://hub.xerj.org/corpus/tipatask--tipatask). 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/Tipatask/tipatask tipatask && git -C tipatask checkout f57818721e75cd1535e85d862f6156fd00153d3f 3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data 4. xerj autoindex ./tipatask --url http://127.0.0.1:9200 --prefix tipatask --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
Anton MAI, prompts and agents corporaagnoxerj-blogpostsanything-llmAlekla0126/alchemist-coderdagoSte/squadratounsils/claude-code-skills
Selected work and consent: the XERJ registry.