Produces thorough, multi-source cited research reports from web and news without paid APIs. Use when the user asks for deep research, landscape analysis, competitive intel, market research, or a cited report needing broad source coverage.
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
# deep-research
Multi-source web research that ends in a structured, fully cited report - not a summary of one page.
## Core Principles
- Every factual claim gets an inline citation. No citation, no claim.
- Cross-reference: two independent sources before treating something as established. Single-source claims get flagged as unverified.
- Prefer sources from the last 12 months. Note when older data is the only data available.
- Acknowledge gaps explicitly. Say "insufficient data found" rather than filling holes.
- No hallucination. If search turns up nothing credible, report that and stop.
## When to Use
- User asks for deep research, a research report, or "look into X thoroughly"
- Landscape, market, competitive, or technology scans needing breadth
- Questions where a quick answer would be irresponsible (policy, pricing, regulation, fast-moving tech)
- Deliverable is a saved report, not chat-only bullets
## When NOT to Use
- User wants a one-line answer or a single-source lookup
- The question is about code in this repo (read the codebase instead)
- Paid or authenticated sources are required and unavailable
…
The line at the top of this page pins the label git:20260929.8a870a5, 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.
A 17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
pass: Frontmatter block present
pass: Frontmatter declares a name
pass: Frontmatter declares a description
pass: Size between 200 bytes and 200 KB (5180 bytes)
pass: No zero-width or bidi control characters
pass: No instruction hidden inside an HTML comment
pass: No link to an exfiltration or paste host
pass: No credential-shaped string
pass: No instruction to send local credentials anywhere
pass: No text hidden with inline styles
pass: No prompt-injection phrasing
pass: No curl or wget piped into a shell
pass: No recursive delete of root, home or parent
pass: No instruction to read or print local credentials
pass: No base64 blob over 200 characters
pass: No link to a raw IP address
pass: No script tag
Source
GitHub
nateslabach/skills · 6 stars · license MIT · pushed 2026-09-29 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_w4rbvzhqi6iwsxxw
GET https://markdownregistry.com/api/v1/resolve?ref=nateslabach/skills/deep-research
GET https://markdownregistry.com/api/v1/blob/8f2a06b8f2738f8d0175a21a1e56cda4a1dcef1ec3d314a7b542ccfff2df83e7
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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