Agent Usability Test Loop
Run a clean-room agent through template or site docs and turn transcript details into a pass/fail friction report.
Templates
Your agent is about to install something and run it unattended. Before it does, it needs three facts: what has been tried, what passed, and what still needs a human. Tested means the template's checks ran and passed on a date you can see. Not tested yet means exactly that — look, but don't trust it unattended.
Every template is described twice: a guide for you, and a manifest for your agent. The manifest, a small file called loop.yaml, is the loop's job description: what may start it, what it's allowed to do, what it must never do, how its work gets checked, and when it must stop and ask a human.
Run a clean-room agent through template or site docs and turn transcript details into a pass/fail friction report.
Detect a failing CI signal, inspect the failure details, make the smallest justified patch, rerun verification, and open or update a pull request without masking the real issue.
Check repository content for stale pages, dead links, superseded claims, and missing ownership records, then propose source-backed updates without publishing rewrites automatically.
Watch upstream releases and changelogs for declared dependencies, assess project impact, and recommend act or ignore with confidence and risk.
Loopmaster's own instance of the research-watch template. Polls the AI loop / agent-tooling landscape (frameworks, protocols, labs) weekly and turns new, high-signal changes into cited findings reports in docs/research/. Findings publish autonomously; public positioning or recommendation changes require human approval.
Check Loopmaster documentation and resource URLs, update safe maintenance stamps, and escalate source updates.
Check Loopmaster's public docs, learning content, resource metadata, and loop guides for stale claims, broken links, and unresolved freshness markers; report proposals without rewriting public positioning autonomously.
Monitor trusted sources and turn new, high-signal research changes into cited findings reports and optional follow-up tasks.
Sweep committed sources and rotating queries each week, score candidates against the resource selection notes, and propose ready-to-merge entries for the curated library without publishing them.