endorses /
lippycat
Network traffic capture and protocol analysis in Go. CLI and TUI for local or distributed monitoring of VoIP, DNS, HTTP, TLS, email, and…
A new way for AI to search for data
2GitHub stars
What XERJ indexed
Selected work

“support central task selection and capture-source export”. 77 files, 4,693 lines in internal/pkg, cmd/tap, cmd/process.
Licence
The repository
MIT
Checked by a person at the pinned commit.
The XERJ corpus
MIT, with credit
The author agreed by email on 2026-10-20. 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
Example questions
- Where does lippycat handle “support central task selection and capture-source export”?
- What does internal/pkg do in lippycat?
The prompt
Paste it into your AI agent. It clones endorses/lippycat at the pinned commit and indexes it on your machine.
Search the GitHub repository endorses/lippycat with XERJ (https://hub.xerj.org/corpus/endorses--lippycat). 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/endorses/lippycat lippycat && git -C lippycat checkout 8fd1b34508107751f36ee79201c8aafce0bf8f1f 3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data 4. xerj autoindex ./lippycat --url http://127.0.0.1:9200 --prefix lippycat --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
endorsesNetworking, protocols and serialisation corpora
Selected work and consent: the XERJ registry.