Write a concise handoff from the conversation so another agent can continue; redact sensitive values. Tested with Gemma4 E4B at 16K context and 24 tool rounds.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
Write a handoff document summarising the current conversation so a fresh agent can continue the work. Save `handoff.md` in the session workspace using the offered file tool and return its artifact link. If no file tool/workspace is available, provide the full handoff in the answer and state that no file was saved.
Include a "suggested skills" section in the document, naming only relevant skills actually listed in the available catalog (the next agent can read them with `skills_read`).
Do not duplicate content already captured in other artifacts (specs, plans, ADRs, issues, commits, diffs). Reference them by path or URL instead.
Redact any sensitive information, such as API keys, passwords, or personally identifiable information.
If the user passed arguments, treat them as a description of what the next session will focus on and tailor the doc accordingly.
Replace secret values with `[REDACTED]` everywhere, including the saved file, response, annotations, examples, and any explanation of redaction. Never repeat an original secret in a sentence saying it was redacted. Preserve only the fact that a credential was removed.
## Host capabilities
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The line at the top of this page pins the label git:20261015.4e92754, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
GET https://markdownregistry.com/api/v1/artifacts/art_3ogbxibew2dttpdr
GET https://markdownregistry.com/api/v1/resolve?ref=zhongkaifu/tensorsharp/handoff
GET https://markdownregistry.com/api/v1/blob/988bf972f317ce4d9de4505f8b5065000e57ad0b60c4965c29f7b9ac3c12a274
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
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