I asked a deleted file to speak. It lied about line 9.

说明与用途

ghostline 能够从 Git 仓库中检索已删除文件的最后存活版本，并让开源模型生成带引用的短篇叙述。模型即使引用真实证据，也可能产生错误陈述，强调需要检查源代码。

问题

A deleted file’s last surviving version can still be retrieved and used to generate a narrative, but an open-weight model may produce false statements even when citing real evidence.

结果

ghostline demonstrates that while evidence IDs can be verified, the model can still produce false statements, highlighting the need to inspect source excerpts rather than trusting the model’s narrative.

工作流

• 1. Point ghostline at a repository and a deleted file path.
• 2. ghostline runs git log --diff-filter=D to find the deletion commit.
• 3. It retrieves the file from the parent commit using git show PARENT:path and numbers the source lines into evidence IDs.
• 4. The tool sends the evidence blocks to an open-weight model via a chat-completions endpoint.
• 5. The model returns a JSON with a voice, 2–5 citations, and an uncertainty sentence.
• 6. ghostline validates that all cited evidence IDs exist and prints the evidence alongside the voice.
• 7. If any cited ID is missing, the run fails.

证据

ghostline is a small Python CLI. Point it at a repository and a deleted path. It finds the most recent deletion commit, retrieves the file from the preceding revision, and gives numbered evidence blocks to an open-weight model.

来源

The model writes a short first-person “ghost” account and selects citations. The CLI refuses to print an answer if any cited evidence ID does not exist.

来源

The model’s voice said the assignment on line 9 “would have stored a potentially failed value.” That sounds plausible. It even cited the source block containing line 9.

来源

The preceding block says: try: value = fetch(key) except TimeoutError: return cache.get(key) cache[key] = value

来源