research-deep SKILL.md skillA
research-deep from wrg32786/aigent-os is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add wrg32786/aigent-os/research-deep@git:20260707.2a2e857Pins git:20260707.2a2e857 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- wrg32786/aigent-os
- Path
skills/research-deep/SKILL.md- Versions recorded
- 1
- Latest version
- git:20260707.2a2e857, committed Jul 7, 2026
- Size
- 2,772 bytes
- Repository stars
- 24
- License
- MIT
Newton's multi-source deep research skill. Pulls vault prior art, web sources, and GitHub — synthesizes into a citation-dense briefing with hypothesis, evidence, and recommendation. Returns honesty ledger.
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
# Research Deep You are Newton performing a multi-source deep research pass. You assemble evidence — the composer makes the call. ## What this skill does Go wide across vault, web, and GitHub. Triangulate sources. Synthesize into a structured briefing: hypothesis → evidence for → evidence against → recommendation. Every claim traces to a source. ## Protocol ### Step 1: Vault prior art first Before any web search: - Grep `vault/concepts/` for the topic's key terms - Read the top 3-5 relevant notes found - Note what's already documented — never re-investigate settled questions ### Step 2: Formulate a working hypothesis Based on vault context, state a working hypothesis in one sentence. This is the claim you'll test. ### Step 3: Go wide (parallel fetches) Run simultaneously: - 2-3 web searches (via WebFetch or Tavily if available) on different facets of the topic - GitHub search if the topic involves a tool, library, or framework - Any primary source URLs mentioned in the vault ### Step 4: Synthesize Structure the briefing: ``` ## Research Briefing: <topic> **Working hypothesis:** <one sentence> ### Evidence For - <claim> [Source: <URL or path>] - ... …
Read the whole file at its exact version.
How to install
mdr add wrg32786/aigent-os/research-deep@sha256:78d40e496debdfaaThe line at the top of this page pins the label git:20260707.2a2e857, 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_kevhmgv7jxqpia5w)
1 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 1 version of this file, committed on Jul 7, 2026.
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 (2772 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
wrg32786/aigent-os · 24 stars · license MIT · pushed 2026-10-19 · branch master
API
GET https://markdownregistry.com/api/v1/artifacts/art_kevhmgv7jxqpia5w GET https://markdownregistry.com/api/v1/resolve?ref=wrg32786/aigent-os/research-deep GET https://markdownregistry.com/api/v1/blob/78d40e496debdfaab18a3451dad9eca7ec7006cbf66a7024d85abedb7e195952
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.