Home / naveedharri / benai-skills · plugins/content/skills/research/SKILL.md · GitHub

research skillA

Name: research
Author: naveedharri

research is agent-read markdown (skill) from naveedharri/benai-skills: Run deep, internet-enabled research on any topic to gather the raw material for content. First step of the content pipeline that feeds /linkedin and /newsletter. Automates prompt enhancement through clarifying questions, saves parameters for reproducibility, and executes web-enabled deep research via the OpenAI Deep Research API. Use when the user asks to research a topic, gather sources, investigate a subject, or build the foundation for a post or newsletter..

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

# Deep Research

Turns a research request into a comprehensive, sourced report using the OpenAI Deep Research API. The orchestration script assesses the prompt, enhances it through clarifying questions when needed, saves the exact prompt for reproducibility, runs the research, and saves a markdown report with numbered sources.

## Steps

1. Accept the user's research request (brief or detailed).

2. Decide whether to enhance. If the prompt is brief or generic, ask the 2-3 clarifying questions in `references/prompt-enhancement.md` (present numbered options plus a free-text option) and build the enhanced prompt. Skip when the prompt is already specific.

3. Confirm the final prompt with the user before executing. A run costs API spend and takes 10-20 minutes, so get a yes on the enhanced prompt first.

4. Run the orchestration script:
   ```bash
   python3 scripts/run_deep_research.py "<prompt>"
   ```
   It re-runs the enhancement check, saves `research_prompt_*.txt`, and executes synchronously. Options and output files are in `references/cli.md`. Wait silently for completion; do not poll for status.
…

Read the whole file at its exact version.

How to install

Latest version

mdr add naveedharri/benai-skills/research@git:20260720.898cddf

Exact content

mdr add naveedharri/benai-skills/research@sha256:fac46c7ff7618dce

Pin 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.

Badge

[![mdr](https://markdownregistry.com/badge/art_j354rwoa27bvjmwd.svg)](https://markdownregistry.com/a/art_j354rwoa27bvjmwd)

1 badge views in 30 days

Versions

version	committed	commit	size	audit
git:20260720.898cddf latest	2026-07-20	898cddf	2,737 B	A	view · diff
git:20260707.5423c6a	2026-07-07	5423c6a	10,666 B	A	view

Audit of the latest version

A 17 of 17 checks passed. Deterministic, no model, 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 (2737 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

naveedharri/benai-skills · 65 stars · license MIT · pushed 2026-09-16 · branch develop

API

GET https://markdownregistry.com/api/v1/artifacts/art_j354rwoa27bvjmwd
GET https://markdownregistry.com/api/v1/resolve?ref=naveedharri/benai-skills/research
GET https://markdownregistry.com/api/v1/blob/fac46c7ff7618dce274634ae62dfe6a589ef6d607ef8ed31fd7b5045c34005bd

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.

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