Intensive analysis ensuring numerical stability and alignment with standards.
Quick Start
/math-review
Verification: Run the command with --help flag to verify availability.
When To Use
Changes to mathematical models or algorithms
Statistical routines or probabilistic logic
Numerical integration or optimization
Scientific computing code
ML/AI model implementations
Safety-critical calculations
When NOT To Use
General algorithm review -
use architecture-review
Performance optimization - use parseltongue:python-performance
Required TodoWrite Items
math-review:context-synced
math-review:requirements-mapped
math-review:derivations-verified
math-review:stability-assessed
math-review:evidence-logged
math-review:findings-verified
Core Workflow
1. Context Sync
pwd && git status -sb && git diff --stat origin/main..HEAD
Verification: Run git status to confirm working tree state.
Enumerate math-heavy files (source, tests, docs, notebooks). Classify risk: safety-critical, financial, ML fairness.
Drop or label UNVERIFIED any finding the verifier fails (exit 1);
only verified findings enter the report. See Skill(imbue:review-core)
Step 5 for the protocol and Skill(imbue:structured-output) for the
finding schema.
Every issue's Anchor is the exact source text at Location; it is what
citation_verifier.py re-reads to prove the finding is real.
Verification: Run the command with --help flag to verify availability.
Every reported issue carries a Location + verbatim Anchor, and citation_verifier.py confirmed all citations (exit 0) or unverified issues were dropped or labeled UNVERIFIED
