Investigate technical questions against high-trust primary sources, official documentation, and source code, producing cited markdown notes. Use when delegating deep codebase research, API investigation, or technical discovery.
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
Spin up a **background agent** to do the research, so you keep working while it reads.
Its job:
1. Investigate the question against **primary sources** (official docs, source code, specs, first-party APIs), not a secondary write-up of them. Follow every claim back to the source that owns it.
2. Write the findings to a single Markdown file, citing each claim's source.
3. Save it where the repo already keeps such notes; match the existing convention, and if there is none, put it somewhere sensible and say where.
The line at the top of this page pins the label git:20261016.0f9b29d, 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_a3yuzdhtehfk76p7
GET https://markdownregistry.com/api/v1/resolve?ref=saifallah-star/aegis/research
GET https://markdownregistry.com/api/v1/blob/fec83955a21b46959dc3980f8f88a699121a0aa3891c6ac5cefb0fd15a6ce37f
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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