WooCommerce Code Review
woocommerce/woocommerce
Reviews WooCommerce code changes against the project's standards, flagging backend PHP architecture, naming, documentation, data integrity and testing violations.
Ralph Engine - Automated feedback loop with LSP diagnostics and AST-grep integration for continuous code quality improvement.
$ npx skills add modu-ai/moai-adk --skill moai-workflow-loop -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install modu-ai/moai-adk moai-workflow-loop --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/modu-ai/moai-adk.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills/moai-workflow-loop .claude/skills/moai-workflow-loop && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "moai-workflow-loop" agent skill from https://github.com/modu-ai/moai-adk/tree/main/.claude/skills/moai-workflow-loop into .claude/skills/moai-workflow-loop/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "moai-workflow-loop", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/modu-ai/moai-adk/tree/main/.claude/skills/moai-workflow-loopType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add modu-ai/moai-adk --skill moai-workflow-loop -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install modu-ai/moai-adk moai-workflow-loop --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/modu-ai/moai-adk.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.claude/skills/moai-workflow-loop .agents/skills/moai-workflow-loop && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "moai-workflow-loop" agent skill from https://github.com/modu-ai/moai-adk/tree/main/.claude/skills/moai-workflow-loop into .agents/skills/moai-workflow-loop/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "moai-workflow-loop", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add modu-ai/moai-adk --skill moai-workflow-loop -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install modu-ai/moai-adk moai-workflow-loop --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/modu-ai/moai-adk.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.claude/skills/moai-workflow-loop .cursor/skills/moai-workflow-loop && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "moai-workflow-loop" agent skill from https://github.com/modu-ai/moai-adk/tree/main/.claude/skills/moai-workflow-loop into .cursor/skills/moai-workflow-loop/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "moai-workflow-loop", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/modu-ai/moai-adk.git --path .claude/skills/moai-workflow-loop--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add modu-ai/moai-adk --skill moai-workflow-loop -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install modu-ai/moai-adk moai-workflow-loop --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/modu-ai/moai-adk.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.claude/skills/moai-workflow-loop .gemini/skills/moai-workflow-loop && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "moai-workflow-loop" agent skill from https://github.com/modu-ai/moai-adk/tree/main/.claude/skills/moai-workflow-loop into .gemini/skills/moai-workflow-loop/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "moai-workflow-loop", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install modu-ai/moai-adk moai-workflow-loopInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add modu-ai/moai-adk --skill moai-workflow-loop -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/modu-ai/moai-adk.git skills-src && mkdir -p .github/skills && cp -r skills-src/.claude/skills/moai-workflow-loop .github/skills/moai-workflow-loop && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "moai-workflow-loop" agent skill from https://github.com/modu-ai/moai-adk/tree/main/.claude/skills/moai-workflow-loop into .github/skills/moai-workflow-loop/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "moai-workflow-loop", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add modu-ai/moai-adk --skill moai-workflow-loop -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install modu-ai/moai-adk moai-workflow-loop --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/modu-ai/moai-adk.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.claude/skills/moai-workflow-loop .opencode/skills/moai-workflow-loop && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "moai-workflow-loop" agent skill from https://github.com/modu-ai/moai-adk/tree/main/.claude/skills/moai-workflow-loop into .opencode/skills/moai-workflow-loop/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "moai-workflow-loop", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
moai-workflow-loopRalph Engine - Automated feedback loop with LSP diagnostics and AST-grep integration for continuous code quality improvement.
Moai Workflow Loop is an agent skill from modu-ai/moai-adk. Ralph Engine - Automated feedback loop with LSP diagnostics and AST-grep integration for continuous code quality improvement. Use when implementing error-driven development, automated fixing, or continuous quality validation workflows.
Its SKILL.md is about 3.2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 3 other files, including reference files (for example `references/examples.md` and `references/reference.md`). Compatibility notes: Designed for Claude Code
It sits in Development, covering Code quality. The repository describes itself as: Agentic development harness for Claude Code — SPEC-driven plan/run/sync, TRUST 5 quality gates, model+effort routing, and Claude×GLM multi-LLM cost control. Single Go binary, 16… The licence is Apache-2.0.
Read from SKILL.md and the folder at commit 6c55321. It shows what the files ask for, not the result of running them.
Pre-approves these tools, so the agent can use them without asking each time:
ReadWriteEditBashGrepGlobFrom allowed-tools in the SKILL.md frontmatter.
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Designed for Claude Code
From compatibility in the SKILL.md frontmatter.
Moai Workflow Loop loads about 3.2k tokens when it runs, and up to ~17k if it reads all its reference files. Until then it costs about 64 tokens; SKILL.md has 1,526 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check noted patterns worth knowing about, such as sudo or a known installer.
allowed-tools: Read, Write, Edit, Bash, Grep, GlobAutomated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
The full file from modu-ai/moai-adk at commit 6c55321, republished under its Apache-2.0 licence (© modu-ai). 1,526 words, ~3,189 tokens.
.claude/skills/moai-workflow-loop/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.Automated feedback loop system integrating LSP diagnostics, AST-grep security scanning, and test validation for continuous code quality improvement.
The /moai loop skill (.claude/skills/moai/workflows/loop.md) re-expresses this Ralph engine as a goal preset built ON the goal engine: a scan stage builds a finite issue queue, and the iterate-until-done decision is delegated to the goal engine (stop-goal) with the pre-filled condition "queue drained + diagnostics clean". In this preset architecture, this SKILL.md documents the underlying LSP / AST-grep / test / coverage diagnostic machinery that the goal-preset sweep drives; the preset layers the goal-engine composition on top of that machinery WITHOUT changing it. The four loop quadrants (goal-based sweep, turn-based /moai fix, time-based cadence, proactive CI-watch) are presets on the one goal engine, not independent engines.
Core Capabilities:
Key Components:
Commands:
When to Use:
The Ralph Engine follows a layered architecture. User commands such as /moai:loop, /moai:fix, and /moai enter the Command Layer. The Command Layer invokes the Hook System, which contains the PostToolUse Hook for LSP diagnostics and the Stop Hook for loop control. The Hook System connects to Backend Services including the LSP Client (MoAILSPClient), AST-grep Scanner, and Test Runner. Backend Services feed into Completion Check which evaluates whether errors are zero, tests pass, and coverage is met. Based on the Completion Check result, the system either continues the loop or completes.
The ralph.yaml configuration file contains the following sections and settings.
Under the ralph section, enabled controls whether Ralph is active (true by default).
Under the lsp section, auto_start controls automatic language server startup (true by default), timeout_seconds sets the connection timeout (30 seconds default), and graceful_degradation enables fallback to linters when LSP unavailable (true by default).
Under the ast_grep section, enabled controls AST-grep integration (true by default), security_scan enables security rule checking (true by default), and quality_scan enables code quality rule checking (true by default).
Under the loop section, max_iterations sets the maximum loop iterations (10 by default), auto_fix controls automatic fix application (false by default requiring confirmation), and require_confirmation requires user approval before fixes (true by default).
Under the completion subsection of loop, zero_errors requires no LSP or compiler errors (true by default), zero_warnings requires no warnings (false by default as optional), tests_pass requires all tests to pass (true by default), and coverage_threshold sets minimum coverage percentage (85 by default).
Under the hooks section, post_tool_lsp has enabled (true by default) and severity_threshold (error by default). The stop_loop_controller has enabled set to true by default.
The PostToolUse hook is triggered after Write and Edit operations. When invoked, Claude Code provides hook input containing the tool_name (such as Write) and tool_input containing the file_path and content.
The hook processes diagnostics and returns hook output with hookSpecificOutput containing the hookEventName (PostToolUse) and additionalContext describing the diagnostic results. For example, the context might report LSP found 2 errors and 3 warnings in file.py, with specific error messages including line numbers.
Exit code 0 indicates no action needed. Exit code 2 indicates attention needed due to errors found.
The Stop hook is triggered after each Claude response. The hook reads the loop state file located at .moai/cache/.moai_loop_state.json. This state contains active status (true or false), current iteration number, max_iterations limit, last_error_count from previous iteration, and completion_reason when finished.
The hook returns output with hookSpecificOutput containing hookEventName (Stop) and additionalContext reporting loop status. For example, it might report Ralph Loop CONTINUE at Iteration 3 of 10 with 2 Errors, and next actions to fix the remaining errors.
Exit code 0 indicates loop complete or inactive. Exit code 1 indicates continue loop with more work needed.
The Go LSP client is integrated into the hook system. LSP diagnostics are automatically collected via the post-tool hook (moai hook post-tool-use).
To get diagnostics for a file, call the get_diagnostics method asynchronously with the file path.
Process the returned diagnostics by iterating through each diagnostic object. Check the severity property against DiagnosticSeverity.ERROR to identify errors. Access the line number from diag.range.start.line and the message from diag.message.
The loop completes when all enabled conditions are met.
The zero_errors condition (default true) requires no LSP or compiler errors.
The zero_warnings condition (default false) optionally requires no warnings.
The tests_pass condition (default true) requires all tests to pass.
The coverage_threshold condition (default 85) requires minimum coverage percentage.
Extend the loop controller with custom conditions by implementing a check function. For example, create a function to count TODO comments in the codebase and return true only when the count reaches zero.
For GitHub Actions integration, create a workflow step that runs Claude with the /moai:loop command and max-iterations flag. Set the MOAI_LOOP_ACTIVE environment variable to true to enable loop mode.
When LSP is unavailable, the system falls back to linter-based diagnostics using tools like ruff or eslint, then to compiler error detection, and finally to test failure detection.
Check that ralph.enabled is set to true in configuration. Verify MOAI_DISABLE_LOOP_CONTROLLER environment variable is not set. Ensure the state file location is writable.
Check LSP server configuration in .moai/config/sections/lsp.yaml. Verify the language server is installed for your language. Check that MOAI_DISABLE_LSP_DIAGNOSTIC environment variable is not set.
Review the max_iterations setting to ensure it allows sufficient iterations. Review completion conditions to verify they are achievable. Send any message to interrupt the loop, or delete the state file (.moai/cache/.moai_loop_state.json) to reset.
Skills:
moai ast-grep / moai ast-edit: security scanning patterns and rewrites.claude/rules/moai/languages/python.md: Python-specific patterns (auto-loaded via paths frontmatter).claude/rules/moai/languages/typescript.md: TypeScript patterns (auto-loaded via paths frontmatter)Agents:
Commands:
MOAI_DISABLE_LSP_DIAGNOSTIC disables the LSP hook when set.
MOAI_DISABLE_LOOP_CONTROLLER disables the loop hook when set.
MOAI_LOOP_ACTIVE indicates whether the loop is currently active.
MOAI_LOOP_ITERATION contains the current iteration number.
CLAUDE_PROJECT_DIR contains the project root path.
Configuration is stored at .moai/config/sections/ralph.yaml.
Loop state is stored at .moai/cache/.moai_loop_state.json.
The LSP hook is located at .claude/hooks/moai/handle-post-tool.sh.
The loop hook is located at .claude/hooks/moai/handle-stop.sh.
LSP diagnostics are available for all 16 MoAI-supported languages: C++, C#, Elixir, Flutter, Go, Java, JavaScript, Kotlin, PHP, Python, R, Ruby, Rust, Scala, Swift, and TypeScript. Ralph detects the project language via marker files (for example go.mod for Go, pyproject.toml for Python, tsconfig.json for TypeScript, Cargo.toml for Rust, pubspec.yaml for Flutter) and spawns the matching language server on demand. Users install only the servers their projects actually need; missing servers trigger a warn-and-skip with an install hint, never a hard failure. See references/reference.md for the complete language-server-to-binary mapping table. Per .claude/rules/moai/development/coding-standards.md § Language Policy (16-language neutrality contract), no language receives priority over another.
Version: 1.2.0 Status: Active Integration: Claude Code Hooks, LSP Protocol, AST-grep Skill Name: moai-workflow-loop (formerly moai-ralph)
<!-- moai:evolvable-start id="rationalizations" -->
| Rationalization | Reality |
|---|---|
| "I will fix the remaining errors manually after the loop" | Manual follow-up means the loop did not finish its job. Errors left are errors shipped. |
| "The loop hit max iterations, the remaining issues are minor" | Iteration limits exist for cost control, not as a quality seal. Report the unresolved list. |
| "LSP warnings are not real errors" | Warnings that persist across iterations indicate ignored structural issues. Address or explicitly suppress. |
| "I fixed the root cause, the other diagnostics will clear themselves" | Cascading fixes are not guaranteed. Run the diagnostic pass again and verify each resolution. |
| "ast-grep rules are too strict for this codebase" | Rules reflect project conventions. Disable the specific rule with justification, do not skip the entire scan. |
| "This iteration made no progress, I should stop" | Stagnation after 2 iterations triggers escalation, not silent exit. Follow the escalation protocol. |
Rule of 500: Changes touching more than 500 lines deserve their own loop iteration with focused diagnostics. Large changes mask individual regressions.
<!-- moai:evolvable-end -->
<!-- moai:evolvable-start id="red-flags" -->
<!-- moai:evolvable-end -->
<!-- moai:evolvable-start id="verification" -->
<!-- moai:evolvable-end -->
© modu-ai, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 2 other files (references) in .claude/skills/moai-workflow-loop of modu-ai/moai-adk.
Open the folder on GitHubat commit 6c55321
Moai Workflow Loop next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Moai Workflow Loop this skillmodu-ai/moai-adk | 1.2k | — | ~3.2k | Automated safety check: Notes | Apache-2.0 | |
| WooCommerce Code Reviewwoocommerce/woocommerce | 11k | 3 repos | ~1.1k | Automated safety check: Pass | Custom licence | |
| Systematic Code Refactoringluongnv89/claude-howto | 42k | — | ~3k | Automated safety check: Pass | MIT | |
| Install Anti-Slop Oxlint Rulesdmmulroy/anti-slop | 5.2k | — | ~2.2k | Automated safety check: Pass | MIT | |
| Constraint-Driven Developmentaddyosmani/agent-skills | 102k | 2 repos | ~5.2k | Automated safety check: Pass | MIT | |
| Skill Doli Code ReviewDolibarr/dolibarr | 7.7k | 1 repos | ~1.1k | Automated safety check: Pass | MIT |
woocommerce/woocommerce
Reviews WooCommerce code changes against the project's standards, flagging backend PHP architecture, naming, documentation, data integrity and testing violations.
luongnv89/claude-howto
Guides refactoring in phases based on Martin Fowler's method: research, test coverage check, planning and small tested steps, with your approval at each phase.
dmmulroy/anti-slop
Installs, updates or migrates the vendored anti-slop Oxlint plugin in a repository, keeping local rule changes and the plugin's license and provenance files.
addyosmani/agent-skills
Records a project's quality bar in CONSTRAINTS.md and watches diffs for signs an agent quietly weakened it, such as suppressions, skipped tests or lowered thresholds.
Dolibarr/dolibarr
Reviews Dolibarr PHP code for compliance with coding standards and security best practices, and fixes identified issues.
docling-project/docling
Applies opinionated production Python conventions chosen by the project's Python version: modern type syntax, pathlib, explicit checks and interface guidance.
modu-ai/moai-adk
Builds hand-editable SVG diagrams from computed layout coordinates, lints the source and renders a 2x PNG, with rules for when mermaid is the better choice.
modu-ai/moai-adk
Reference for MoAI-ADK's core development principles: TRUST 5 quality gates, SPEC-first domain-driven workflow, agent delegation and token budgeting.
modu-ai/moai-adk
Manages SPEC documents for MoAI-ADK development, with GEARS or EARS requirement notation, acceptance criteria and a link into the Plan-Run-Sync workflow.
modu-ai/moai-adk
Drives test-first development through the RED, GREEN, REFACTOR cycle, with a config switch that selects between TDD and a DDD workflow for existing code.
modu-ai/moai-adk
Gives each SPEC its own Git worktree with a registry of active workspaces, base-branch sync and cleanup of merged ones, inside the MoAI-ADK workflow.
modu-ai/moai-adk
Watches a pull request's CI checks after creation, separates required from auxiliary failures, applies limited safe fixes and escalates anything semantic to you.
Categories
Ralph Engine - Automated feedback loop with LSP diagnostics and AST-grep integration for continuous code quality improvement. Moai Workflow Loop is an agent skill from modu-ai/moai-adk. Ralph Engine - Automated feedback loop with LSP diagnostics and AST-grep integration for continuous code quality improvement.
Moai Workflow Loop fits situations like: implementing error-driven development; automated fixing; continuous quality validation workflows.
Run `npx skills add modu-ai/moai-adk --skill moai-workflow-loop -a claude-code`. Or copy the skill folder (.claude/skills/moai-workflow-loop in modu-ai/moai-adk) into .claude/skills/moai-workflow-loop in your project. Claude Code loads it when a task matches its description.
Run `npx skills add modu-ai/moai-adk --skill moai-workflow-loop -a codex`. Or copy the skill folder (.claude/skills/moai-workflow-loop in modu-ai/moai-adk) into .agents/skills/moai-workflow-loop in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add modu-ai/moai-adk --skill moai-workflow-loop -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/moai-workflow-loop, .gemini/skills/moai-workflow-loop, .github/skills/moai-workflow-loop and .opencode/skills/moai-workflow-loop in your project.
SKILL.md names no scripts, command-line tools or credentials: Moai Workflow Loop is instructions for the agent only. Its frontmatter pre-approves these tools: Read, Write, Edit, Bash, Grep, Glob. Compatibility (from SKILL.md): Designed for Claude Code.
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found notes only (pre-approves every shell command (allowed-tools: bash)), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.
Moai Workflow Loop is published under the Apache-2.0 licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
About 3.2k tokens (SKILL.md is roughly 13k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 14k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Moai Workflow Loop: WooCommerce Code Review (woocommerce/woocommerce, 11k stars), Systematic Code Refactoring (luongnv89/claude-howto, 42k stars), Install Anti-Slop Oxlint Rules (dmmulroy/anti-slop, 5.2k stars) and Constraint-Driven Development (addyosmani/agent-skills, 102k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
modu-ai (a GitHub organization) maintains it in modu-ai/moai-adk, which has 1,230 GitHub stars. The repository holds 48 skills in this directory. The repository was last updated on October 7, 2026.
Source: modu-ai/moai-adk on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.