gcpidentitytokenportal
Web portal for vending GCP identity tokens via metadata service with flexible audience selection
A new way for AI to search for data
1GitHub stars
What XERJ indexed
Selected work
“Configure gitrepoforge and apply standard Go repository files”. 6 files, 362 lines in the project root.
Licence
The repository
MIT
Checked by a person at the pinned commit.
The XERJ corpus
MIT, with credit
The author agreed by email on 2026-10-18. 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
gcpiamdocker
Example questions
- How does gcpidentitytokenportal implement gcp?
- Where does gcpidentitytokenportal handle “Configure gitrepoforge and apply standard Go repository files”?
- Show the iam code in gcpidentitytokenportal.
The prompt
Paste it into your AI agent. It clones UnitVectorY-Labs/gcpidentitytokenportal at the pinned commit and indexes it on your machine.
Search the GitHub repository UnitVectorY-Labs/gcpidentitytokenportal with XERJ (https://hub.xerj.org/corpus/unitvectory-labs--gcpidentitytokenportal). 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/UnitVectorY-Labs/gcpidentitytokenportal gcpidentitytokenportal && git -C gcpidentitytokenportal checkout e159b4e9b6938dc55d1a61416a2577625cbdf559 3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data 4. xerj autoindex ./gcpidentitytokenportal --url http://127.0.0.1:9200 --prefix gcpidentitytokenportal --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.
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Selected work and consent: the XERJ registry.