26 skills and 196 lenses.
fix the instructions first
apply the audit's fixes
settle structure
lock the data layer
financial correctness review
security audit
the account lifecycle as one machine, on whitehat's control inventory
what is stored about people, on the same data map
concurrency correctness, before anything is measured
clocks, timezones and expiry, beside race-cop
performance audit
fit against the target machine, on the paths perf-cop costed
broad quality sweep on the settled structure
settle the contract before anything else binds to it
the browser's half of the same contract, beside api-cop
what the interface does once the user acts, on the exchange web-cop settled
settle the settings an operability review depends on
resilience and operability, as a design review
each dependency against down, slow, flapping and back
whether the signals compose, on ops-cop's deploy shape
what an untrusted caller can spend, where fuzz then probes
adversarial hardening
validate tests last
prose the user reads
prose the operator reads
prose the maintainer reads
Audit general-agent prompts (persona, scope, guardrails, tool descriptions, examples) — LLM-agnostic
Write git commits
Set up or modernize Python projects (uv, ruff, pyproject.toml)
Audits this collection as a set — reviewer lists against each reviewers/ directory, orchestration-file parity, a lens that lives in two skills, cross-references, the review order, run-log pointer parity.
Picks which review skills and which lenses to run next in the project you are in, and names every skill that would find nothing there.
Guidelines for authoring general agent system prompts, personas, guardrails, tool descriptions, and the skill / output-style / command files a harness loads as instruction (LLM-agnostic)