data-research SKILL.md skillA
data-research from garrytan/gbrain is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add garrytan/gbrain/data-research@v1.1.0Pins v1.1.0 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- garrytan/gbrain
- Path
skills/data-research/SKILL.md- Versions recorded
- 5
- Latest version
- v1.1.0, committed Oct 7, 2026
- First version recorded
- Apr 15, 2026
- Size
- 5,859 bytes
- Repository stars
- 31,587
- License
- MIT
Structured data research: search sources, extract structured data, archive raw sources, maintain canonical tracker pages, deduplicate. Parameterized via YAML recipes for investor updates, donations, company updates, or any email-to-structured-data pipeline.
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
# Data Research Structured research pipeline: search sources, extract structured data, archive raw, deduplicate, update canonical trackers, backlink entities. ## Contract One skill for any email-to-structured-data pipeline. The only differences between tracking investor updates, expenses, and company metrics are the **search queries**, **extraction schemas**, and **tracker page format**. All three use the same 7-phase pipeline with parameterized recipes. ## When to Use - User wants to track structured data from email, web, or API sources - User says "research", "track", "extract from email", "build a tracker" - User mentions investor updates, donations, company metrics, filings - User wants to set up recurring data collection (with cron recipe) ## Phases ### Phase 1: Define Research Recipe Infer the research target from conversation context, recent brain activity, active tasks (`ops/tasks.md`), and memory files. If the request is ambiguous, present the most likely interpretation based on what the user has been working on. Only ask for clarification if context is genuinely insufficient. Options: - Pick a built-in recipe: investor-updates, expense-tracker, company-updates …
Read the whole file at its exact version.
How to install
mdr add garrytan/gbrain/data-research@sha256:39f9648a21a7074dThe line at the top of this page pins the label v1.1.0, 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.
[](https://markdownregistry.com/a/art_rghhxzn3jmtosfsf)
2 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 5 versions of this file, between Apr 15, 2026 and Oct 7, 2026, about one every 44 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| v1.1.0 latest | 2026-10-07 | 590bb9a | 5,859 B | A | view · diff |
| v1.1.0 | 2026-10-04 | 739e5cc | 5,858 B | A | view · diff |
| v1.1.0 | 2026-08-12 | 3f22f51 | 5,169 B | A | view · diff |
| v1.0.0 | 2026-07-31 | 298b6b0 | 4,872 B | A | view · diff |
| v1.0.0 | 2026-04-15 | e5a9f01 | 4,845 B | A | view |
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (5859 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
garrytan/gbrain · 31,587 stars · license MIT · pushed 2026-11-06 · branch master
API
GET https://markdownregistry.com/api/v1/artifacts/art_rghhxzn3jmtosfsf GET https://markdownregistry.com/api/v1/resolve?ref=garrytan/gbrain/data-research GET https://markdownregistry.com/api/v1/blob/39f9648a21a7074d6ad7db789e93e6d7085449a6cdaffacf8b1660eb68636b9d
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.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.