Hey everyone, Riley Fox here, back at agntkit.net after what feels like a whirlwind of client projects and caffeine-fueled debugging sessions. March 2026, and I’m still finding new ways to optimize my workflow, which brings me to today’s topic.
You know me, I’m all about finding those little tweaks that make a big difference. We talk a lot about “toolkits” here, and that often conjures images of fancy software suites or complex automation scripts. But lately, I’ve been thinking a lot about something much more fundamental, something that underpins almost everything we do as agents, analysts, and anyone who needs to make sense of information quickly: the humble resource starter pack.
No, I’m not talking about a pre-made VM or a docker container (though those are great too!). I’m talking about the curated collection of links, templates, and boilerplate code you reach for when you’re staring down a brand new project, a fresh intelligence challenge, or even just a new client with a completely unfamiliar tech stack. It’s that initial burst of clarity, that feeling of “okay, I know where to begin” instead of the dreaded “where do I even start?”
The “Blank Page” Problem: My Latest Obsession
I recently took on a project that, on the surface, looked pretty straightforward: a deep explore an emerging IoT security vulnerability. Standard stuff for me, right? Except the client was entirely new, their existing documentation was… sparse, and the vulnerability itself was bleeding-edge, with very little publicly available analysis. I sat there for a good hour, just staring at my blank VS Code window, feeling that familiar pang of “uggh.”
My usual routine involves pulling up a few of my go-to open-source intelligence (OSINT) tools, firing up some network scanners, and then exploring specific research. But this time, it felt different. I wasn’t just missing a tool; I was missing a *framework* for approaching this particular type of problem. I needed a starting line, not just a set of running shoes.
That’s when it hit me. What I needed wasn’t a new tool, but a better “resource starter pack” for these kinds of ambiguous, modern investigations. Something that would give me a jumpstart, guiding my initial steps and pointing me towards common pitfalls or useful data sources I might not immediately think of.
What Exactly is a Resource Starter Pack?
Think of it as your personal, highly optimized launchpad. It’s not a full-blown operating manual, nor is it just a random collection of bookmarks. It’s a curated, purpose-driven set of initial resources designed to accelerate your first few hours (or even days) on a new task. It reduces cognitive load, minimizes decision fatigue, and ensures you’re not reinventing the wheel every single time.
For me, a good resource starter pack usually includes:
- Key Bookmarks/Links: Not just random websites, but specific articles, documentation pages, or official reports that are frequently relevant to a particular type of task.
- Boilerplate Code/Scripts: Small, reusable snippets that solve common initial problems. Think data parsing, API authentication, or basic report generation.
- Checklists/Templates: A simple markdown file or even a text file outlining the typical steps or data points to look for in a given scenario.
- Reference Data: Common regex patterns, standard port numbers, or frequently used API endpoints.
- Recommended Tools (with context): A short list of tools, but crucially, *why* and *when* to use them in this specific context.
My “IoT Vulnerability Investigation” Starter Pack – A Case Study
Let’s go back to my IoT project. After that initial hour of blank-page angst, I decided to build out the very starter pack I wished I had. Here’s a peek at what ended up in it:
H3: 1. Core IoT Security Standards & Frameworks
Instead of just Googling “IoT security best practices” every time, I created a specific bookmark folder. This included:
- Link to OWASP IoT Top 10 project page.
- NIST SP 800-213 (IoT Device Cybersecurity Guidance) – direct PDF link.
- Relevant sections of ENISA’s IoT Security Guidelines.
- A link to a specific SANS whitepaper on embedded device forensics.
Why these? Because they provide a foundational understanding of common attack vectors and defense mechanisms specific to IoT, which helps frame my initial investigative questions.
H3: 2. Initial Data Gathering & Device Reconnaissance Scripts
This is where the boilerplate code comes in handy. For IoT, I often need to quickly parse device fingerprints, identify common protocols, or interact with basic device APIs. Here’s a simplified Python snippet I now keep handy:
import requests
import json
def get_device_info(ip_address, port=80):
"""
Attempts to fetch basic info from a common web interface on an IoT device.
Adjust headers/endpoints based on suspected device type.
"""
url = f"http://{ip_address}:{port}/api/v1/info" # Common API endpoint
headers = {'User-Agent': 'IoT-Investigator/1.0'}
try:
response = requests.get(url, headers=headers, timeout=5)
response.raise_for_status() # Raise an exception for HTTP errors
try:
data = response.json()
print(f"[{ip_address}:{port}] Device Info (JSON):\n{json.dumps(data, indent=2)}")
except json.JSONDecodeError:
print(f"[{ip_address}:{port}] Device Info (Raw Text):\n{response.text[:500]}...") # Print first 500 chars
except requests.exceptions.RequestException as e:
print(f"[{ip_address}:{port}] Error fetching info: {e}")
if __name__ == "__main__":
target_ips = ["192.168.1.100", "192.168.1.101"] # Replace with actual targets
for ip in target_ips:
get_device_info(ip)
print("-" * 30)
This isn’t a silver bullet, but it gives me a quick way to check for common open web interfaces and API endpoints without having to type out `requests` boilerplate every time. It’s about reducing friction in those early reconnaissance phases.
H3: 3. Vulnerability Research & CVE Query Templates
When dealing with new vulnerabilities, knowing where to look and what to search for is crucial. My starter pack now includes:
- A markdown file with common search operators for Google, Shodan, and Censys, specifically tailored for IoT device types (e.g.,
"MQTT broker" country:US port:1883). - Links to MITRE CVE database, NVD, and specific vendor security advisories (e.g., for common IoT chip manufacturers like Espressif, Nordic Semiconductor).
- A template for structuring my initial vulnerability analysis notes:
## [Vulnerability Name/CVE ID] ### Overview: - What is it? - Affected devices/firmware: - Impact: ### Discovery/Initial Intel: - Source (report, article, tweet): - Date discovered: ### Technical Details: - Affected component/protocol: - Exploit method (if known): - Public PoC? (Link if yes): ### Mitigation: - Vendor patch status: - Workarounds: ### Next Steps: - Verify affected versions. - Scan for indicators of compromise (IoCs). - ...
This template ensures I capture the critical information upfront, making it easier to compare and prioritize vulnerabilities. It prevents me from getting lost in a sea of unstructured notes.
Building Your Own Agent Resource Starter Pack
The beauty of a resource starter pack is that it’s deeply personal and evolves with your work. Here’s how you can start building or refining yours:
- Identify Your Common “Starting Lines”: What are the recurring types of projects or problems you face? OSINT investigations? Malware analysis? Cloud security audits? Each of these might warrant its own starter pack.
- Track Your Initial Steps: For the next few projects, pay attention to what you do first. What links do you always open? What commands do you always type? What files do you always create? Those are prime candidates for inclusion.
- Curate, Don’t Hoard: The goal is efficiency, not just collecting everything. Be ruthless. If you haven’t touched a resource in six months, consider if it truly belongs in your “starter” pack. It can go into a deeper archive, but not the immediate launchpad.
- Organize Intuitively: Use clear folder structures, well-named files, and concise descriptions. If you can’t find it in under 10 seconds, it’s not well-organized enough for a starter pack.
- Make it Accessible: Keep your starter packs where you can easily reach them. For me, it’s a dedicated directory in my cloud sync, with aliases in my shell for quick access to key scripts. For others, it might be a specific browser profile or a dedicated Notion page.
- Iterate and Refine: This isn’t a one-and-done task. As you learn new things or your workflow changes, update your starter packs. I probably tweak mine a few times a month.
Actionable Takeaways for Your Next Project
So, you’re ready to stop staring at that blank page, right? Here’s what you can do right now:
- Pick ONE Recurring Task: Don’t try to build a starter pack for everything. Choose one type of project you do frequently (e.g., “New Client Onboarding,” “Initial Threat Hunt,” “Basic Web App Recon”).
- Gather Your Top 3-5 Links: For that task, what are the absolute must-have web pages or documentation you always refer to? Bookmark them in a dedicated folder.
- Save Your Favorite Boilerplate: What’s a small script or command sequence you type out repeatedly? Save it as a text file or a small script in a “snippets” folder.
- Create a Simple Checklist: For your chosen task, jot down the first 3-5 high-level steps you typically take. This is your initial “plan of attack.”
- Review and Refine Next Week: After using your mini starter pack on a real project, take 15 minutes to see what worked, what didn’t, and what else you could add.
My resource starter packs aren’t just about saving time; they’re about reducing the mental overhead of getting started. They let me jump directly into the problem-solving, the analysis, and the actual “agent work” without getting bogged down in the setup. And honestly, that feeling of having a clear path forward from the very beginning? Priceless.
Happy hunting, and I’ll catch you next time!
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🕒 Last updated: · Originally published: March 24, 2026