Home / naveedharri / benai-skills · GitHub

research SKILL.md skillA

research from naveedharri/benai-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned

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

Pins git:20260720.898cddf in mdr.lock. Pin the fingerprint instead.

Audit grade: A, 17 of 17 checks passed
Kind: SKILL.md skill
Repository: naveedharri/benai-skills
Path: plugins/content/skills/research/SKILL.md
Versions recorded: 2
Latest version: git:20260720.898cddf, committed Jul 20, 2026
First version recorded: Jul 7, 2026
Size: 2,737 bytes
Repository stars: 78
License: MIT

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.

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

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

The exact contents, by fingerprint

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

The line at the top of this page pins the label git:20260720.898cddf, 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.

Badge

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

3 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 2 versions of this file, between Jul 7, 2026 and Jul 20, 2026, about one every 13 days.

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. 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 (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 · 78 stars · license MIT · pushed 2026-10-09 · 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 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.

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