topic-research skillA
topic-research is agent-read markdown (skill) from naveedharri/benai-skills: Research any topic end to end and get back a fact-checked, branded HTML report plus an agent-readable markdown brief. Use when the user wants to research a topic, do a deep dive, build a research report or briefing, gather evidence before writing a piece of content, understand 'what does the research say / what are people saying about X', or study a subject across papers, forums, YouTube, and vendor/web sources. Fans out parallel sub-agents (one per source type), verifies every hard claim with t.
Indexed from public GitHub and served as immutable, content-addressed versions. Install it pinned to an exact SHA-256 with the mdr CLI, and every file is verified against the hash recorded here before it reaches your agent. The deterministic audit below grades the latest version, and the same file always earns the same grade.
What the file says
# Topic Research Turns a topic into a rigorous, sourced, fact-checked report. Two artifacts come out every time: a **markdown brief** (agent-readable, the handoff to a content-writer skill) and a **branded HTML report** (human-facing, deployable). The workflow is: interview the user so the research is targeted, fan out parallel research sub-agents across source types, verify every hard claim, synthesize to markdown, render to HTML, deploy. > [!important] The two rules that make this good > 1. **Targeted, not generic.** The Phase 0 Q&A shapes every sub-agent. Research aimed at a purpose beats a topic dump every time. > 2. **Verify before you publish.** No hard number reaches the report without a fact-check verdict and a caveat. Fact and opinion stay visibly separate. --- ## Phase 0: Targeted Q&A + capability probe Do both before any research runs. Ask conversationally, one thing at a time, adapting to answers. ### A. Targeted Q&A (this shapes the whole run) 1. **Topic**, and what they already believe or suspect about it. …
Read the whole file at its exact version.
How to install
mdr add naveedharri/benai-skills/topic-research@git:20260720.71f54edmdr add naveedharri/benai-skills/topic-research@sha256:3259a818f8c76639Pin to a label to follow the author's releases, or to a sha256 to freeze the exact bytes forever. Either way the resolved hash is written to mdr.lock, and mdr install reproduces it on any machine.
[](https://markdownregistry.com/a/art_f4tzf27s7cgh6agp)
1 badge views in 30 days
Versions
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 (10456 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
naveedharri/benai-skills · 65 stars · license MIT · pushed 2026-09-16 · branch develop
API
GET https://markdownregistry.com/api/v1/artifacts/art_f4tzf27s7cgh6agp GET https://markdownregistry.com/api/v1/resolve?ref=naveedharri/benai-skills/topic-research GET https://markdownregistry.com/api/v1/blob/3259a818f8c7663923a267acfb99bc0dea473b5e7b5a25701ebe33c39e0a418d
Your agent 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.