This repository is the canonical source for **OpenClaw Agent Skills**, a collection of portable, reusable agent workflows (skills) for coding agents such as Claude Code, Codex, Pi, and OpenClaw. The primary deliverable is not a standalone application but a set of self-contained skills that provide automated code review (autoreview), redacted session publication (beam), session transcript provenance (agent-transcript), local session viewing (session-viewer), behavior validation (behavior-validator), and remote test orchestration (crabbox). Each skill lives under `skills/<name>/` with a required `SKILL.md` file and auxiliary scripts, tests, and references. The repository also includes cross-platform installer (`scripts/install-skills`) and validator (`scripts/validate-skills`) scripts that support symlink or copy installation into agent skill directories. Architecturally, the skills are independent of each other and are consumed by agents via direct symlink/copy. The most complex skill is `autoreview`, which performs a full AI-driven code review pipeline: capture git diff/commit/working-tree state, build a review prompt with evidence, invoke one of several engines (Codex, Claude, Amp, Pi) via subprocess, parse structured JSON reports, and produce a final review result with security hardening (isolation probes, credential scanning, terminal escape prevention). The `autoreview` script is monolithic (~80k tokens) but contains reusable patterns for safe subprocess environment sanitization, git diff collection, JSON extraction from noisy output, and engine isolation verification. The `session-viewer` skill provides a polished local HTML renderer for agent session JSONL files, with importers for multiple session formats. The `beam` skill focuses on redacted publication of coding sessions to a read-only catalog. The codebase demonstrates high engineering craftsmanship: extensive test coverage (Python unittest, Jest for TypeScript, shell-based harness), security-conscious patterns (symlink validation, stat-preserving writes, process group signal handling, environment sanitization), and cross-platform support (Windows, macOS, Linux via CI). The test suite is especially thorough for `autoreview`, covering edge cases like CRLF handling, binary files, merge commits, worktrees, shallow clones, and sensitive path patterns. The installer pattern (symlink for development, copy for vendored snapshots) is designed to minimize drift while allowing zero-setup downstream usage. Overall, the repository is actively maintained, uses modern tooling (Python 3.14, Node 26, TypeScript 7), and is well-suited for teams adopting agent-assisted development workflows who need reusable, vetted skill definitions.