Omh Content Operator
rlaope/oh-my-hermes
[omh] Product or company copy to publish or rewrite: scope publish-ready writing, rewriting, summarization, translation, release-note, newsletter, customer-copy, social-copy, README-copy, and…
Token-efficient code analysis via 5-layer stack (AST, Call Graph, CFG, DFG, PDG).
$ npx skills add parcadei/Continuous-Claude-v3 --skill tldr-code -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install parcadei/Continuous-Claude-v3 tldr-code --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/parcadei/Continuous-Claude-v3.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills/tldr-code .claude/skills/tldr-code && 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 "tldr-code" agent skill from https://github.com/parcadei/Continuous-Claude-v3/tree/main/.claude/skills/tldr-code into .claude/skills/tldr-code/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tldr-code", 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/parcadei/Continuous-Claude-v3/tree/main/.claude/skills/tldr-codeType 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 parcadei/Continuous-Claude-v3 --skill tldr-code -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install parcadei/Continuous-Claude-v3 tldr-code --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/parcadei/Continuous-Claude-v3.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.claude/skills/tldr-code .agents/skills/tldr-code && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "tldr-code" agent skill from https://github.com/parcadei/Continuous-Claude-v3/tree/main/.claude/skills/tldr-code into .agents/skills/tldr-code/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tldr-code", 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 parcadei/Continuous-Claude-v3 --skill tldr-code -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install parcadei/Continuous-Claude-v3 tldr-code --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/parcadei/Continuous-Claude-v3.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.claude/skills/tldr-code .cursor/skills/tldr-code && 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 "tldr-code" agent skill from https://github.com/parcadei/Continuous-Claude-v3/tree/main/.claude/skills/tldr-code into .cursor/skills/tldr-code/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tldr-code", 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/parcadei/Continuous-Claude-v3.git --path .claude/skills/tldr-code--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 parcadei/Continuous-Claude-v3 --skill tldr-code -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install parcadei/Continuous-Claude-v3 tldr-code --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/parcadei/Continuous-Claude-v3.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.claude/skills/tldr-code .gemini/skills/tldr-code && 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 "tldr-code" agent skill from https://github.com/parcadei/Continuous-Claude-v3/tree/main/.claude/skills/tldr-code into .gemini/skills/tldr-code/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tldr-code", 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 parcadei/Continuous-Claude-v3 tldr-codeInstalls 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 parcadei/Continuous-Claude-v3 --skill tldr-code -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/parcadei/Continuous-Claude-v3.git skills-src && mkdir -p .github/skills && cp -r skills-src/.claude/skills/tldr-code .github/skills/tldr-code && 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 "tldr-code" agent skill from https://github.com/parcadei/Continuous-Claude-v3/tree/main/.claude/skills/tldr-code into .github/skills/tldr-code/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tldr-code", 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 parcadei/Continuous-Claude-v3 --skill tldr-code -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install parcadei/Continuous-Claude-v3 tldr-code --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/parcadei/Continuous-Claude-v3.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.claude/skills/tldr-code .opencode/skills/tldr-code && 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 "tldr-code" agent skill from https://github.com/parcadei/Continuous-Claude-v3/tree/main/.claude/skills/tldr-code into .opencode/skills/tldr-code/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tldr-code", 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.
tldr-codeToken-efficient code analysis via 5-layer stack (AST, Call Graph, CFG, DFG, PDG).
Tldr Code is an agent skill from parcadei/Continuous-Claude-v3. Token-efficient code analysis via 5-layer stack (AST, Call Graph, CFG, DFG, PDG). 95% token savings.
Its SKILL.md is about 2.7k tokens, which your agent loads only when the skill is triggered. The skill folder holds 1 other file (for example `rules.md`).
It sits in Writing & Content, covering Summarization and Codebase onboarding. The repository describes itself as: Context management for Claude Code. Hooks maintain state via ledgers and handoffs. MCP execution without context pollution. Agent orchestration with isolated context windows. The licence is MIT.
Read from SKILL.md and the folder at commit d07ff4b. 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:
BashFrom allowed-tools in the SKILL.md frontmatter.
No scripts in the folder and no shell commands in SKILL.md (its code samples are bash, json, gitignore and python).
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.
Tldr Code loads about 2.7k tokens when it runs. Until then it costs about 28 tokens; SKILL.md has 451 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: BashAutomated 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 parcadei/Continuous-Claude-v3 at commit d07ff4b, republished under its MIT licence (© parcadei). 451 words, ~2,662 tokens.
.claude/skills/tldr-code/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.Token-efficient code analysis. 95% savings vs raw file reads.
| Task | Command |
|---|---|
| File tree | tldr tree src/ |
| Code structure | tldr structure . --lang python |
| Search code | tldr search "pattern" . |
| Call graph | tldr calls src/ |
| Who calls X? | tldr impact func_name . |
| Control flow | tldr cfg file.py func |
| Data flow | tldr dfg file.py func |
| Program slice | tldr slice file.py func 42 |
| Dead code | tldr dead src/ |
| Architecture | tldr arch src/ |
| Imports | tldr imports file.py |
| Who imports X? | tldr importers module_name . |
| Affected tests | tldr change-impact --git |
| Type check | tldr diagnostics file.py |
| Semantic search | tldr semantic search "auth flow" |
Layer 1: AST ~500 tokens Function signatures, imports
Layer 2: Call Graph +440 tokens What calls what (cross-file)
Layer 3: CFG +110 tokens Complexity, branches, loops
Layer 4: DFG +130 tokens Variable definitions/uses
Layer 5: PDG +150 tokens Dependencies, slicing
───────────────────────────────────────────────────────────────
Total: ~1,200 tokens vs 23,000 raw = 95% savings# File tree
tldr tree [path]
tldr tree src/ --ext .py .ts # Filter extensions
tldr tree . --show-hidden # Include hidden files
# Code structure (codemaps)
tldr structure [path] --lang python
tldr structure src/ --max 100 # Max files to analyze# Text search
tldr search <pattern> [path]
tldr search "def process" src/
tldr search "class.*Error" . --ext .py
tldr search "TODO" . -C 3 # 3 lines context
tldr search "func" . --max 50 # Limit results
# Semantic search (natural language)
tldr semantic search "authentication flow"
tldr semantic search "error handling" --k 10
tldr semantic search "database queries" --expand # Include call graph# Full file info
tldr extract <file>
tldr extract src/api.py
tldr extract src/api.py --class UserService # Filter to class
tldr extract src/api.py --function process # Filter to function
tldr extract src/api.py --method UserService.get # Filter to method
# Relevant context (follows call graph)
tldr context <entry> --project <path>
tldr context main --project src/ --depth 3
tldr context UserService.create --project . --lang typescript# Control flow graph (complexity)
tldr cfg <file> <function>
tldr cfg src/processor.py process_data
# Returns: cyclomatic complexity, blocks, branches, loops
# Data flow graph (variable tracking)
tldr dfg <file> <function>
tldr dfg src/processor.py process_data
# Returns: where variables are defined, read, modified
# Program slice (what affects line X)
tldr slice <file> <function> <line>
tldr slice src/processor.py process_data 42
tldr slice src/processor.py process_data 42 --direction forward
tldr slice src/processor.py process_data 42 --var result# Build cross-file call graph
tldr calls [path]
tldr calls src/ --lang python
# Reverse call graph (who calls this function?)
tldr impact <func> [path]
tldr impact process_data src/ --depth 5
tldr impact authenticate . --file auth # Filter by file
# Find dead/unreachable code
tldr dead [path]
tldr dead src/ --entry main cli test_ # Specify entry points
tldr dead . --lang typescript
# Detect architectural layers
tldr arch [path]
tldr arch src/ --lang python
# Returns: entry layer, middle layer, leaf layer, circular deps# Parse imports from file
tldr imports <file>
tldr imports src/api.py
tldr imports src/api.ts --lang typescript
# Reverse import lookup (who imports this module?)
tldr importers <module> [path]
tldr importers datetime src/
tldr importers UserService . --lang typescript# Type check + lint
tldr diagnostics <file|path>
tldr diagnostics src/api.py
tldr diagnostics . --project # Whole project
tldr diagnostics src/ --no-lint # Type check only
tldr diagnostics src/ --format text # Human-readable
# Find affected tests
tldr change-impact [files...]
tldr change-impact # Auto-detect (session/git)
tldr change-impact src/api.py # Explicit files
tldr change-impact --session # Session-modified files
tldr change-impact --git # Git diff files
tldr change-impact --git --git-base main # Diff against branch
tldr change-impact --run # Actually run affected tests# Pre-build call graph cache
tldr warm <path>
tldr warm src/ --lang python
tldr warm . --background # Build in background
# Build semantic index (one-time)
tldr semantic index [path]
tldr semantic index . --lang python
tldr semantic index . --model all-MiniLM-L6-v2 # Smaller model (80MB)The daemon holds indexes in memory for instant repeated queries.
# Start daemon (backgrounds automatically)
tldr daemon start
tldr daemon start --project /path/to/project
# Check status
tldr daemon status
# Stop daemon
tldr daemon stop
# Send raw command
tldr daemon query ping
tldr daemon query status
# Notify file change (for hooks)
tldr daemon notify <file>
tldr daemon notify src/api.py| Feature | Description |
|---|---|
| Auto-shutdown | 30 minutes idle |
| Query caching | SalsaDB memoization |
| Content hashing | Skip unchanged files |
| Dirty tracking | Incremental re-indexing |
| Cross-platform | Unix sockets / Windows TCP |
Send JSON to socket, receive JSON response:
// Request
{"cmd": "search", "pattern": "process", "max_results": 10}
// Response
{"status": "ok", "results": [...]}All 22 daemon commands:
ping, status, shutdown, search, extract, impact, dead, arch,
cfg, dfg, slice, calls, warm, semantic, tree, structure,
context, imports, importers, notify, diagnostics, change_impactNatural language code search using embeddings.
# Build index (downloads model on first run)
tldr semantic index .
# Default model: bge-large-en-v1.5 (1.3GB, best quality)
# Smaller model: all-MiniLM-L6-v2 (80MB, faster)
tldr semantic index . --model all-MiniLM-L6-v2tldr semantic search "authentication flow"
tldr semantic search "error handling patterns" --k 10
tldr semantic search "database connection" --expand # Follow call graphIn .claude/settings.json:
{
"semantic_search": {
"enabled": true,
"auto_reindex_threshold": 20,
"model": "bge-large-en-v1.5"
}
}| Language | AST | Call Graph | CFG | DFG | PDG |
|---|---|---|---|---|---|
| Python | Yes | Yes | Yes | Yes | Yes |
| TypeScript | Yes | Yes | Yes | Yes | Yes |
| JavaScript | Yes | Yes | Yes | Yes | Yes |
| Go | Yes | Yes | Yes | Yes | Yes |
| Rust | Yes | Yes | Yes | Yes | Yes |
| Java | Yes | Yes | - | - | - |
| C/C++ | Yes | Yes | - | - | - |
| Ruby | Yes | - | - | - | - |
| PHP | Yes | - | - | - | - |
| Kotlin | Yes | - | - | - | - |
| Swift | Yes | - | - | - | - |
| C# | Yes | - | - | - | - |
| Scala | Yes | - | - | - | - |
| Lua | Yes | - | - | - | - |
| Elixir | Yes | - | - | - | - |
TLDR respects .tldrignore (gitignore syntax):
# .tldrignore
.venv/
__pycache__/
node_modules/
*.min.js
dist/First run creates .tldrignore with sensible defaults.
Use --no-ignore to bypass.
| Task | Use TLDR | Use Grep |
|---|---|---|
| Find function definition | tldr extract file --function X | - |
| Search code patterns | tldr search "pattern" | - |
| String literal search | - | grep "literal" |
| Config values | - | grep "KEY=" |
| Cross-file calls | tldr calls | - |
| Reverse deps | tldr impact func | - |
| Complexity analysis | tldr cfg file func | - |
| Variable tracking | tldr dfg file func | - |
| Natural language query | tldr semantic search | - |
from tldr.api import (
# L1: AST
extract_file, extract_functions, get_imports,
# L2: Call Graph
build_project_call_graph, get_intra_file_calls,
# L3: CFG
get_cfg_context,
# L4: DFG
get_dfg_context,
# L5: PDG
get_slice, get_pdg_context,
# Unified
get_relevant_context,
# Analysis
analyze_dead_code, analyze_architecture, analyze_impact,
)
# Example: Get context for LLM
ctx = get_relevant_context("src/", "main", depth=2, language="python")
print(ctx.to_llm_string())Key insight: TLDR navigates, then you read. Don't try to fix bugs from summaries alone.
# 1. NAVIGATE: Find which files matter
tldr imports file.py # What does buggy file depend on?
tldr impact func_name . # Who calls the buggy function?
tldr calls . # Cross-file edges (follow 2-hop for models)
# 2. READ: Get actual code for critical files (2-4 files, not all 50)
# Use Read tool or tldr search -C for code with context
tldr search "def buggy_func" . -C 20For cross-file bugs (e.g., wrong field name, type mismatch), you need to see:
task.user_id)owner_id)TLDR finds which files matter. Then you read them.
If TLDR output isn't enough:
tldr search "pattern" . -C 20 - Get actual code with 20 lines contexttldr imports file.py - See what a file depends onRaw file read: 23,314 tokens
TLDR all layers: 1,189 tokens
─────────────────────────────────
Savings: 95%The insight: Call graph navigates to relevant code, then layers give structured summaries. You don't read irrelevant code.
© parcadei, MIT. 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 1 other file in .claude/skills/tldr-code of parcadei/Continuous-Claude-v3.
Open the folder on GitHubat commit d07ff4b
We found 3 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 2 other GitHub owners. This page covers the copy in parcadei/Continuous-Claude-v3, which our catalogue first saw on October 7, 2026.
Tldr Code 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 |
|---|---|---|---|---|---|---|
| Tldr Code this skillparcadei/Continuous-Claude-v3 | 3.9k | 2 repos | ~2.7k | Automated safety check: Notes | MIT | |
| Omh Content Operatorrlaope/oh-my-hermes | 3.2k | — | ~1.9k | Automated safety check: Pass | MIT | |
| Cy Workflow Memorycompozy/compozy | 2.8k | — | ~385 | Automated safety check: Pass | MIT | |
| Tldr CLImajiayu000/claude-skill-registry | 666 | 1 repos | ~1.2k | Automated safety check: Pass | MIT | |
| News Aggregator Skillcclank/news-aggregator-skill | 1.3k | — | ~2.1k | Automated safety check: Pass | None | |
| Vss Search ArchiveNVIDIA-AI-Blueprints/video-search-and-summarization | 1.9k | — | ~3.6k | Automated safety check: Pass | Apache-2.0 |
rlaope/oh-my-hermes
[omh] Product or company copy to publish or rewrite: scope publish-ready writing, rewriting, summarization, translation, release-note, newsletter, customer-copy, social-copy, README-copy, and…
compozy/compozy
Maintains workflow-scoped task memory for CompozyOS runs using .compozy/tasks/<name/memory/ files.
majiayu000/claude-skill-registry
TLDR CLI komut referansi. An agent skill from majiayu000/claude-skill-registry.
cclank/news-aggregator-skill
Comprehensive news aggregator that fetches, filters, and deeply analyzes real-time content from 44+ sources including Hacker News, Lobsters, Dev.to, GitHub, arXiv, Hugging Face Papers, AIHOT, TLDR…
NVIDIA-AI-Blueprints/video-search-and-summarization
A skill your agent uses when a user wants to search archived VSS video or ingest or delete a source for search.
geekjourneyx/ai-daily-skill
Fetches AI news from smol.ai RSS and generates structured markdown with intelligent summarization and categorization.
parcadei/Continuous-Claude-v3
Full 5-layer analysis of a specific function. An agent skill from parcadei/Continuous-Claude-v3.
parcadei/Continuous-Claude-v3
Transform session learnings into permanent capabilities (skills, rules, agents).
parcadei/Continuous-Claude-v3
Problem-solving strategies for gradient methods in optimization
parcadei/Continuous-Claude-v3
Systematic hook debugging workflow. An agent skill from parcadei/Continuous-Claude-v3.
parcadei/Continuous-Claude-v3
Unified math capabilities - computation, solving, and explanation.
parcadei/Continuous-Claude-v3
Routes problems to appropriate mathematical frameworks using expert heuristics
Categories
Token-efficient code analysis via 5-layer stack (AST, Call Graph, CFG, DFG, PDG). Tldr Code is an agent skill from parcadei/Continuous-Claude-v3. Token-efficient code analysis via 5-layer stack (AST, Call Graph, CFG, DFG, PDG).
Tldr Code fits situations like: tasks that involve Summarization; tasks that involve Codebase onboarding.
Run `npx skills add parcadei/Continuous-Claude-v3 --skill tldr-code -a claude-code`. Or copy the skill folder (.claude/skills/tldr-code in parcadei/Continuous-Claude-v3) into .claude/skills/tldr-code in your project. Claude Code loads it when a task matches its description.
Run `npx skills add parcadei/Continuous-Claude-v3 --skill tldr-code -a codex`. Or copy the skill folder (.claude/skills/tldr-code in parcadei/Continuous-Claude-v3) into .agents/skills/tldr-code 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 parcadei/Continuous-Claude-v3 --skill tldr-code -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/tldr-code, .gemini/skills/tldr-code, .github/skills/tldr-code and .opencode/skills/tldr-code in your project.
SKILL.md names no scripts, command-line tools or credentials: Tldr Code is instructions for the agent only. Our summary lists: Python 3. Its frontmatter pre-approves these tools: Bash.
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.
Tldr Code is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 2.7k tokens (SKILL.md is roughly 11k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Tldr Code: Omh Content Operator (rlaope/oh-my-hermes, 3.2k stars), Cy Workflow Memory (compozy/compozy, 2.8k stars), Tldr CLI (majiayu000/claude-skill-registry, 666 stars) and News Aggregator Skill (cclank/news-aggregator-skill, 1.3k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
parcadei (a GitHub user) maintains it in parcadei/Continuous-Claude-v3, which has 3,940 GitHub stars. The repository holds 141 skills in this directory. The repository was last updated on January 26, 2026.
Source: parcadei/Continuous-Claude-v3 on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.