Look before changing anything
Check the files, current state, and local instructions before making a change.
cybersecurity / AI agents / local tools
I’m Sean McQuilling. I build and test AI agents that work with real files and tools. I write about what works, what breaks, and how to keep the risks under control.
08:41:02 working folder confirmed
08:41:04 proposed change ready
08:41:07 final check passed
now / july 2026
Right now I’m testing access rules, jobs that can resume after a stop, and logs that show what the agent actually did.
Read the current noteessential reading / foundation
Anthropic's framework connects agent identity, least agency, tool boundaries, memory integrity, and recovery into one practical security model.
how I work
An agent should have only the access it needs. Important actions should be obvious, and the final result should be checked instead of taken on faith.
Check the files, current state, and local instructions before making a change.
Give the agent only the files and tools it needs for the current job.
Run a test or inspect the result. Do not rely on the agent saying it worked.
selected work
Make a run plan, export it for your tool, then check a transcript against the rules.
recent writing
MITRE ATLAS gives AI security teams a shared map of adversary behavior for threat modeling, detection engineering, red teaming, and incident response.
The OWASP Agentic Top 10 moves security beyond model output and into goals, tools, identities, memory, delegation, and runtime control.
The OWASP LLM Top 10 turns common language-model failure modes into security requirements, tests, telemetry, and response plans.
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