evidtrail

AI provenance for git: declared at commit time, checked in CI, traceable to the agent session. Honest about what git cannot prove

A new way for AI to search for data

View on GitHub

8GitHub stars

TypeScript, JavaScript

What XERJ indexed

Snapshot

Whole repository

The whole repository at commit 2869f9cb4d (2026-11-01).

Selected work

Francesco Falanga
@ceccode

“link commits to the agent session that produced them”. 17 files, 600 lines in packages/cli, packages/core, packages/metrics.

Licence

The repository

MIT

LICENSE file checked at the pinned commit; the author agreed to inclusion.

The XERJ corpus

MIT, with credit

The author agreed by email on 2026-11-01. 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-attributionai-codingclaude-codeclicursorgithub-actionsgithub-copilotprovenance

Example questions

How does evidtrail implement ai-attribution?
Where does evidtrail handle “link commits to the agent session that produced them”?
What does packages/cli do in evidtrail?

The prompt

Paste it into your AI agent. It clones ceccode/evidtrail at the pinned commit and indexes it on your machine.

Search the GitHub repository ceccode/evidtrail with XERJ (https://hub.xerj.org/corpus/ceccode--evidtrail).
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/ceccode/evidtrail evidtrail && git -C evidtrail checkout 2869f9cb4d63ee774fb7d6ca45cd85fe27e38f07
3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data
4. xerj autoindex ./evidtrail --url http://127.0.0.1:9200 --prefix evidtrail --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.

Francesco Falanga AI, prompts and agents corpora xobotyi--cc-foundry-cli xerj-blogposts xobotyi--cc-foundry-javascript sinceaihq/ai-shipcheck Gatsuke/vibe-pilot alipajand/agent-readiness-action

Selected work and consent: the XERJ registry.