The Roll Up #001
Inaugural issue — myctrl.tools ships Grok support, scf-api goes public with 1,468 controls, and a Princeton paper suggests 10 minutes of AI use can make you worse at the work.
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Cover // The Roll Up №001
My Projects This Week
- scf-api — public launch. Static JSON API for the Secure Controls Framework. 1,468 controls, 33 families, 249 framework crosswalks, automated updates from official SCF releases. This is the data backbone behind the next phase of myctrl.tools research.
- myctrl.tools — Grok support + UX. Added Grok as a provider (ENG-727), tightened left-side navigation and mobile scrolling, added the OWASP Smart Contract Top 10 as a risk list, and made notes on controls bucketable by project / assessment so you can keep separate threads per engagement.
- fedramp-browser — first push. A TUI for the official FedRAMP docs corpus. Read compliance on your terms.
- fedramp-docs-mcp — MCP server that exposes the FedRAMP docs through the Model Context Protocol, so Claude + other clients can answer FedRAMP questions from the source of truth instead of their stale training data.
- rollup.hackidle.com — the site you’re on. Astro + Buttondown + satori-rendered OG cards + two ambient tracks. Source at hackIDLE/rollup.
- scoop-bucket + homebrew-tap. Package distribution for the tools I’ll start shipping under the hackIDLE name.
- NIST-CMVP-API + dynamic-cryptographic-modules-table. Scaffolding for a cryptographic-module-validation lookup tool that’s been on my list for months.
Research Notes
AI assistance causes learning regression — Princeton RCT — Michiel Bakker, Grace Liu, Brian Christian, Mira Dumbalska, Rachit Dubey “After just 10 min of AI assistance people perform worse and give up more often than those who never used AI.” “61% said they used it to get answers directly. This group showed the steepest decline — both in performance and willingness to keep trying. People who used AI for hints did much better.”
The setup is clean — 1,200 participants on fraction problems, then reading comprehension. Half get AI during the practice round. Then they all take the same test without AI. AI-assisted participants solve fewer problems and skip more. The “AI for answers vs. AI for hints” split is the finding I can’t stop thinking about: same tool, two ways to use it, opposite outcomes. Changing how I use Claude while writing code this week.
“Machines of Loving Grace” — Dario Amodei “It is critical to have a genuinely inspiring vision of the future, and not just a plan to fight fires.” “Experiments on cells, animals, and even chemical processes are limited by the speed of the physical world.”
The biology bottleneck section is the most concrete near-term-science thesis I’ve read in months. Data, speed of the physical world, and intrinsic complexity — the three gates to compressing biology. Worth re-reading after a full cycle through an AI lab’s planning docs.
OpenAI Frontier agents — product + platform deep dive (podcast transcript) “All the things we have encoded in docs and tests and review agents and all these things are ways to put all the non-functional requirements of building high-scale high-quality reliable software into a space that prompt injects the agent.”
Treat the prompt as the spec. The whole episode is about how OpenAI’s own internal team ships coding agents that autonomously merge PRs — the “platform skills” they describe (lints that teach, docs that prompt-inject, review agents) map exactly onto what’s missing in most enterprise agent rollouts.
Interesting GitHub Repos
- 3b1b/manim — the math-animation engine behind 3Blue1Brown. If you’ve wanted to make a math explainer video, start here.
- NationalSecurityAgency/ghidra — NSA’s open-source software reverse-engineering framework. Forked it this week because a FedRAMP thread touched firmware analysis.
- sxyazi/yazi — blazingly-fast terminal file manager in Rust. Finally replaced ranger in my workflow.
- awslabs/agent-squad — multi-agent orchestration from AWS Labs. Early, but interesting to compare against Anthropic’s Agent SDK and OpenAI’s Agents SDK now that all three majors have one.
- cisco-ai-defense/mcp-scanner — scan MCP servers for threats and security findings. Wired it into the myctrl.tools build pipeline so trust isn’t just vibes.
- OWASP/OpenCRE — Common Requirement Enumeration. The Rosetta Stone for mapping across security frameworks, and obviously adjacent to the scf-api work.
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