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corpus-reviewlisted

Audit a large file corpus — dozens to hundreds of docs, configs, or mixed code-plus-docs-plus-tests — by fanning out blind reviewers over partitions, adversarially verifying every high-severity finding before acting on it, fixing in disjoint file partitions, and re-auditing with fresh eyes until the findings converge. Use when reviewing or auditing a whole repo's documentation, a release's doc set, an entire plugin or package, or any file set too large for one reader to hold at once; on asks like "review all the docs before we push", "audit the whole repo for X", "blind review across these N files", "do a pre-push review of everything", or "check the docs still match the code across the project". It orchestrates the audit on the harness's parallel subagent and workflow primitives and ships no engine of its own. Not for a fresh-eyes panel on a single design, spec, or artifact (that is review-panel), not for reviewing one change's diff for bugs and regressions (that is a diff review / code-review), and not for
grimaldost/craft-collection · ★ 2 · AI & Automation · score 68
Install: claude install-skill grimaldost/craft-collection
# Corpus Review A single reader cannot hold a few hundred files in working memory, and a single pass over them misses what only a second angle catches. The pattern that scales: partition the corpus, review each partition blind and in parallel, verify a finding before acting on it, fix without collisions, and re-audit until the findings dry up. This is a **flexible** skill, and it ships no engine — it orchestrates the audit on whatever parallel-agent or workflow primitive the harness provides, and degrades to plain sequential review when none is available. What stays firm is the shape of the loop. ## The loop 1. **Partition the corpus into coherent groups** — by directory, subsystem, or artifact kind — each small enough for one reviewer to read closely together with the real source it should agree with (a doc against the `src/` it describes, a config against what consumes it). 2. **Review each partition blind and in parallel.** One reviewer per group, each unaware of the others, so findings are not anchored by a shared first read. The reviewer reads the artifact *and* its ground truth, never the artifact alone. 3. **Adversarially verify every high-severity finding before acting.** A finding is a claim until a second, skeptical agent confirms it against the code. Unverified findings are where a fan-out wastes the most effort — a confident reviewer can be confidently wrong. 4. **Fix in disjoint file partitions.** Parallel editors that never touch t