deep-research SKILL.md skillA

This file is byte-identical to the first copy the registry indexed. Same content hash, so the same checks give both the same grade.

deep-research from hybridlabor-api/aos is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add hybridlabor-api/aos/deep-research@git:20261020.553e9b9

Pins git:20261020.553e9b9 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
hybridlabor-api/aos
Path
skills/global_config/deep-research/SKILL.md
Versions recorded
4
Latest version
git:20261020.553e9b9, committed Oct 20, 2026
First version recorded
Jul 27, 2026
Size
3,780 bytes
Repository stars
6
License
Apache-2.0

Run autonomous research tasks that plan, search, read, and synthesize information into comprehensive reports.

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

# Gemini Deep Research Skill

Run autonomous research tasks that plan, search, read, and synthesize information into comprehensive reports.

## Plan first

The report starts from the `research` template — question, evidence table, recommendation:

```bash
aos-plan-canvas new research <plan-dir>                     # scaffold the plan folder
aos-plan-canvas open <plan-dir> --mode bdb-plan-builder  # render and open in the browser
aos-plan-canvas await <plan-dir>/plan.mdx                # keep listening until the verdict
```

The approved plan is the artifact: this template has no components, so there is no agenttrail map. The full loop: the `plan-canvas` skill — a plain CLI, identical on every harness.

## When to Use This Skill

Use this skill when:
- Performing market analysis
- Conducting competitive landscaping
- Creating literature reviews
- Doing technical research
- Performing due diligence
- Need detailed, cited research reports

## Requirements

- Python 3.8+
- httpx: `pip install -r requirements.txt`
- GEMINI_API_KEY environment variable

## Setup

1. Get a Gemini API key from [Google AI Studio](https://aistudio.google.com/)
2. Set the environment variable:
   ```bash
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add hybridlabor-api/aos/deep-research@sha256:7f3be1c9b61672c9

The line at the top of this page pins the label git:20261020.553e9b9, 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 badge

[![mdr](https://markdownregistry.com/badge/art_276hudwn4qcofwsw.svg)](https://markdownregistry.com/a/art_276hudwn4qcofwsw)

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

Versions

The registry has recorded 4 versions of this file, between Jul 27, 2026 and Oct 20, 2026, about one every 28 days.

versioncommittedcommitsizeaudit
git:20261020.553e9b9 latest2026-10-20 553e9b9 3,780 BA view · diff
git:20261020.bfd01fa2026-10-20 bfd01fa 3,758 BA view · diff
git:20260827.e9312a32026-08-27 e9312a3 3,205 BA view · diff
git:20260727.48beb342026-07-27 48beb34 3,187 BA 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 (3780 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

hybridlabor-api/aos · 6 stars · license Apache-2.0 · pushed 2026-11-05 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_276hudwn4qcofwsw
GET https://markdownregistry.com/api/v1/resolve?ref=hybridlabor-api/aos/deep-research
GET https://markdownregistry.com/api/v1/blob/7f3be1c9b61672c9034970446b52f5f255a3a0a81116aa969e128752404d1fd8

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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