Seedance
songguoxs/seedance-prompt-skill
This skill should be used when the user asks to "generate video prompts", "create Seedance prompts", "write video descriptions", mentions "Seedance", "seedance", "即梦", "即梦平台", "视频提示词", "视频生成"…
The machine has to stay one machine while the camera does all the work.
Install Seedance Car Vehicle
$ npx skills add LearnPrompt/awesome-seedance --skill seedance-car-vehicle -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install LearnPrompt/awesome-seedance seedance-car-vehicle --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/LearnPrompt/awesome-seedance.git skills-src && mkdir -p .claude/skills && cp -r skills-src/agents/skills/seedance-car-vehicle .claude/skills/seedance-car-vehicle && 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 "seedance-car-vehicle" agent skill from https://github.com/LearnPrompt/awesome-seedance/tree/main/agents/skills/seedance-car-vehicle into .claude/skills/seedance-car-vehicle/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "seedance-car-vehicle", 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/LearnPrompt/awesome-seedance/tree/main/agents/skills/seedance-car-vehicleType 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 LearnPrompt/awesome-seedance --skill seedance-car-vehicle -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install LearnPrompt/awesome-seedance seedance-car-vehicle --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/LearnPrompt/awesome-seedance.git skills-src && mkdir -p .agents/skills && cp -r skills-src/agents/skills/seedance-car-vehicle .agents/skills/seedance-car-vehicle && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "seedance-car-vehicle" agent skill from https://github.com/LearnPrompt/awesome-seedance/tree/main/agents/skills/seedance-car-vehicle into .agents/skills/seedance-car-vehicle/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "seedance-car-vehicle", 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 LearnPrompt/awesome-seedance --skill seedance-car-vehicle -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install LearnPrompt/awesome-seedance seedance-car-vehicle --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/LearnPrompt/awesome-seedance.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/agents/skills/seedance-car-vehicle .cursor/skills/seedance-car-vehicle && 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 "seedance-car-vehicle" agent skill from https://github.com/LearnPrompt/awesome-seedance/tree/main/agents/skills/seedance-car-vehicle into .cursor/skills/seedance-car-vehicle/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "seedance-car-vehicle", 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/LearnPrompt/awesome-seedance.git --path agents/skills/seedance-car-vehicle--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 LearnPrompt/awesome-seedance --skill seedance-car-vehicle -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install LearnPrompt/awesome-seedance seedance-car-vehicle --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/LearnPrompt/awesome-seedance.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/agents/skills/seedance-car-vehicle .gemini/skills/seedance-car-vehicle && 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 "seedance-car-vehicle" agent skill from https://github.com/LearnPrompt/awesome-seedance/tree/main/agents/skills/seedance-car-vehicle into .gemini/skills/seedance-car-vehicle/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "seedance-car-vehicle", 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 LearnPrompt/awesome-seedance seedance-car-vehicleInstalls 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 LearnPrompt/awesome-seedance --skill seedance-car-vehicle -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/LearnPrompt/awesome-seedance.git skills-src && mkdir -p .github/skills && cp -r skills-src/agents/skills/seedance-car-vehicle .github/skills/seedance-car-vehicle && 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 "seedance-car-vehicle" agent skill from https://github.com/LearnPrompt/awesome-seedance/tree/main/agents/skills/seedance-car-vehicle into .github/skills/seedance-car-vehicle/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "seedance-car-vehicle", 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 LearnPrompt/awesome-seedance --skill seedance-car-vehicle -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install LearnPrompt/awesome-seedance seedance-car-vehicle --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/LearnPrompt/awesome-seedance.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/agents/skills/seedance-car-vehicle .opencode/skills/seedance-car-vehicle && 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 "seedance-car-vehicle" agent skill from https://github.com/LearnPrompt/awesome-seedance/tree/main/agents/skills/seedance-car-vehicle into .opencode/skills/seedance-car-vehicle/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "seedance-car-vehicle", 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.
Facts
- Skill name
seedance-car-vehicle- GitHub stars
- 1.9k
- Token cost
- ~1.7k tokens
- SKILL.md length
- 902 words
- Files
- 2 (incl. references)
- Skills in repo
- 15
- Repo updated
- First seen
- Licence
- MIT
At a glance
The machine has to stay one machine while the camera does all the work.
- Works in 5 steps: Collect inputs. Ask only for what is… → Pick one anchor case. Read… → Fill the structure block by block. Every… → …
- The user wants a Seedance 2.5 / 2.0 video prompt for this kind of clip (Cars and vehicles at speed
- SKILL.md covers Use when, Workflow, Guidance (from the cases) and Pitfalls, plus 4 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Seedance Car Vehicle is an agent skill from LearnPrompt/awesome-seedance. The machine has to stay one machine while the camera does all the work. Lock the vehicle part by part, then fill the runtime with a numbered cut list that moves the camera every second. Use when the user wants a Seedance 2.5 / 2.0 video prompt for this kind of clip (Cars and vehicles at speed; 中文触发词: 汽车与载具速度片, 汽车, 赛车, 摩托, 载具), or asks how published cases of this type were prompted. Read references/cases.md before drafting.
Its SKILL.md is about 1.7k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/cases.md`).
It sits in Media & Creative, covering AI video generation. It works with Seedance. The repository describes itself as: 🎬 Evidence-led Seedance 2.5 / 2.0 prompt library: 600+ cases traced to original posts, 260+ cross-model retest runs with public verdicts, 25 copy-ready templates, 50+… The licence is MIT.
When your agent uses it
- The user wants a Seedance 2.5 / 2.0 video prompt for this kind of clip (Cars and vehicles at speed
- 中文触发词: 汽车与载具速度片
- Asks how published cases of this type were prompted
Example prompts
- “/seedance-car-vehicle”
Workflow steps
5 steps, taken from the first numbered list in SKILL.md.
- Collect inputs. Ask only for what is missing: subject or product, setting, duration, aspect ratio, whether reference images / audio exist…
- Pick one anchor case. Read references/cases.md, choose the case closest to the request, and name it in the reply. One anchor, never an…
- Fill the structure block by block. Every block below must be present in the final prompt; an empty block is where prompts go vague.
- Apply the guidance and check the pitfalls (next two sections) before returning anything.
- Return the finished prompt as one copy-pasteable block, the anchor case link, and a three-line checklist of what to verify in the…
What it can do on your machine
Read from SKILL.md and the folder at commit 859e148. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
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.
Network
Links to these hosts (documentation or services it may open):
goodcase.aigithub.com
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Seedance Car Vehicle loads about 1.7k tokens when it runs, and up to ~7.9k if it reads all its reference files. Until then it costs about 112 tokens; SKILL.md has 902 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.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated 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.
SKILL.md
The full file from LearnPrompt/awesome-seedance at commit 859e148, republished under its MIT licence (© LearnPrompt). 902 words, ~1,731 tokens.
Download SKILL.mdSave it as
.claude/skills/seedance-car-vehicle/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.- name
- seedance-car-vehicle
- description
- The machine has to stay one machine while the camera does all the work. Lock the vehicle part by part, then fill the runtime with a numbered cut list that moves the camera every second. Use when the user wants a Seedance 2.5 / 2.0 video prompt for this kind of clip (Cars and vehicles at speed; 中文触发词: 汽车与载具速度片, 汽车, 赛车, 摩托, 载具), or asks how published cases of this type were prompted. Read references/cases.md before drafting.
Cars and vehicles at speed · 汽车与载具速度片
The machine has to stay one machine while the camera does all the work. Lock the vehicle part by part, then fill the runtime with a numbered cut list that moves the camera every second.
This Skill carries one prompt structure distilled from 11 human-verified Seedance cases on goodcase.ai. It is a sibling of seedance-prompt-library (all templates in one Skill); install this one when you only want this kind of clip. Do not invent structure from general video-generation knowledge: follow the structure below and ground the draft in one anchor case from references/cases.md.
Use when
- Motorcycle and car commercials, mountain-road speed runs, chase and stunt sequences, and vehicle transformation clips.
- 中文：摩托和汽车广告、山路疾驰、追逐与特技段落，还有车辆变形类的片子。
Workflow
- Collect inputs. Ask only for what is missing: subject or product, setting, duration, aspect ratio, whether reference images / audio exist, and which language the final prompt should be in.
- Pick one anchor case. Read
references/cases.md, choose the case closest to the request, and name it in the reply. One anchor, never an average of several. - Fill the structure block by block. Every block below must be present in the final prompt; an empty block is where prompts go vague.
- Opening line: runtime, aspect ratio, frame rate, and the exact number of cuts
- Vehicle lock: model or type, colour, and the moving parts that have to behave
- Rider or driver lock: build, gear, helmet, closed with one consistency sentence
- Road and weather: the surface, what lines both sides of it, the light
- A ratio line stating how much of the film is camera motion and how much is scenery
- The numbered cut list, one line per second, each naming a camera position and what streaks past
- Tail: visual style, then a negative list of the ways a vehicle specifically breaks
- Apply the guidance and check the pitfalls (next two sections) before returning anything.
- Return the finished prompt as one copy-pasteable block, the anchor case link, and a three-line checklist of what to verify in the generated video.
Guidance (from the cases)
- Describe the vehicle by its parts, not by its badge. The Karakoram commercial names
realistic suspension movement, wheel rotation, chain movement, engine vibration, then requires the proportions to hold for the whole clip. - Declare the cut count before writing the list. The mountain-road motorcycle case opens with
exactly 16 distinct cuts, total runtime ≈ 16–17 secondsand then runs CUT 01 through CUT 16, one second each. - Put the speed in the camera position and in what gets thrown past it. The same case writes
camera drops even lower, almost road-levelandgrass and fence posts racing past. - State a ratio at the top and obey it below. The mountain-road case declares
90 % pure kinetic camera motion and 10 % environmental beauty, and not one of its sixteen cuts stops to admire the view. - Write a negative list of vehicle-specific failures. Karakoram excludes
no duplicated motorcycle components, no unrealistic wheel geometry, no floating motorcycle, and the motorcycle-to-dragon case adds that the two must clearly be the same entity.
Show full SKILL.md (386 more words)Show less
Pitfalls
- Naming the vehicle and the road and leaving the rest to the model. Colour and stance then drift every cut; the mountain-road case writes
Preserve the exact bike color, rider silhouette, road markings. - Putting two camera positions inside one cut. A second only holds one position, and asking for more makes the model cut in the middle of the shot.
- Writing a transformation as an edit. The motorcycle-to-dragon case demands
No cuts or jumpsand spells the change out piece by piece: wheels become clawed limbs, frame expands into an armoured body. - Holding a macro shot on the badge or the instrument cluster. Generated lettering comes out wrong; aim the close-ups at tyre contact, suspension compression and the exhaust instead.
Language
Reply in the user's language. The prompt itself can stay in English when that is what the user's Seedance workflow expects; ask if unclear. The Chinese version of this structure follows.
中文：汽车与载具速度片
机器从头到尾得是同一台机器，出力的是镜头。先把车按部件锁住，再用编号分镜表把时长排满，每一秒换一个机位。
结构:
- 开场一句：时长、画幅、帧率，以及总共多少个镜头
- 车辆锁定：车型、颜色，以及那些必须动对的部件
- 骑手或司机锁定：体型、装备、头盔，收一句一致性
- 路面和天气：铺装、路两边是什么、光线
- 一句配比，说明这条片子多少是镜头运动、多少是风景
- 编号分镜表，一秒一条，每条点名机位和被甩过去的东西
- 收尾：视觉风格，再加一份专门针对车会怎么坏的负面清单
要点:
- 车按部件写，不靠车标。Karakoram 那条广告点名
realistic suspension movement, wheel rotation, chain movement, engine vibration，再要求整条保持比例一致。 - 先声明总镜头数，再写表。山路摩托那条开头写
exactly 16 distinct cuts, total runtime ≈ 16–17 seconds，后面 CUT 01 到 CUT 16 一秒一条。 - 速度写在机位和被甩过去的东西上。同一条里写
camera drops even lower, almost road-level，然后写grass and fence posts racing past。 - 开头给一句配比，下面照着执行。山路那条声明
90 % pure kinetic camera motion and 10 % environmental beauty，于是十六个镜头没有一个停下来看风景。 - 负面清单要点名车会怎么坏。Karakoram 那条排除
no duplicated motorcycle components, no unrealistic wheel geometry, no floating motorcycle，摩托变龙那条另外要求变形前后必须明确是同一个实体。
常见坑:
- 只写车名和路，剩下交给模型。颜色和姿态会一镜一变，山路那条专门写
Preserve the exact bike color, rider silhouette, road markings。 - 一个镜头里写两个机位。一秒只装得下一个机位，写多了模型会在镜头中间自己切一刀。
- 把变形写成剪辑切换。摩托变龙那条要求
No cuts or jumps，并把轮子变爪肢、车架撑成装甲躯干逐件写出来。 - 特写停在车标或者仪表盘文字上。生成出来的字必歪，特写改打轮胎接地、悬挂压缩和排气这些结构件。
Copy-ready lead-in / 可复制引导语
For users who would rather paste into a chat model than run this Skill, hand them this line above the structure:
I want a vehicle speed clip. [The vehicle is a white dual-sport motorcycle on a foggy gravel mountain road at dawn.] [The rider is a young man in a worn leather jacket, full-face helmet on the whole time.] Using the prompt template below, rewrite it into one ready-to-use Seedance video prompt for me:
我要做一条载具速度短片，【车是一台白色越野摩托，路况是清晨起雾的碎石山路】，【骑手是一个穿旧皮衣的男生，全程戴全盔】。请根据下面这个提示语模板，帮我改写成一条可以直接用的 Seedance 视频提示语：
Notes
references/cases.mdis generated fromdata/in LearnPrompt/awesome-seedance and refreshed daily; do not hand-edit an installed copy.- Prompts in the reference file belong to their creators (linked on every card). Transfer the structure; do not present a close copy as original work.
- For the full library across every model, install the
goodcaseSkill from LearnPrompt/goodcase-lite.
© LearnPrompt, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 1 other file (references) in agents/skills/seedance-car-vehicle of LearnPrompt/awesome-seedance.
- SKILL.md
- references/cases.md
Open the folder on GitHubat commit 859e148
Compare with similar skills
Seedance Car Vehicle 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 |
|---|---|---|---|---|---|---|
| Seedance Car Vehicle this skillLearnPrompt/awesome-seedance | 1.9k | — | ~1.7k | Automated safety check: Pass | MIT | |
| Seedancesongguoxs/seedance-prompt-skill | 2.9k | 1 repos | ~2.5k | Automated safety check: Pass | None | |
| SN Motion HTMLOpenSenseNova/SenseNova-Skills | 5.7k | — | ~2.2k | Automated safety check: Notes | MIT | |
| Seedance Prompt Endexhunter/seedance2-skill | 4.2k | — | ~3.8k | Automated safety check: Pass | MIT | |
| Seedance Japanese Prompt ExamplesEmily2040/seedance-2.0 | 7.6k | 1 repos | ~898 | Automated safety check: Pass | MIT | |
| Seedance 2 5 Video Directorliyue-aigc/seedance-2-5-video-director | 599 | — | ~3.5k | Automated safety check: Pass | MIT |
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Related
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Questions about Seedance Car Vehicle
What does Seedance Car Vehicle do?
The machine has to stay one machine while the camera does all the work. Seedance Car Vehicle is an agent skill from LearnPrompt/awesome-seedance. The machine has to stay one machine while the camera does all the work.
When should I use Seedance Car Vehicle?
Seedance Car Vehicle fits situations like: the user wants a Seedance 2.5 / 2.0 video prompt for this kind of clip (Cars and vehicles at speed; 中文触发词: 汽车与载具速度片; asks how published cases of this type were prompted.
How do I install Seedance Car Vehicle in Claude Code?
Run `npx skills add LearnPrompt/awesome-seedance --skill seedance-car-vehicle -a claude-code`. Or copy the skill folder (agents/skills/seedance-car-vehicle in LearnPrompt/awesome-seedance) into .claude/skills/seedance-car-vehicle in your project. Claude Code loads it when a task matches its description.
How do I install Seedance Car Vehicle in Codex?
Run `npx skills add LearnPrompt/awesome-seedance --skill seedance-car-vehicle -a codex`. Or copy the skill folder (agents/skills/seedance-car-vehicle in LearnPrompt/awesome-seedance) into .agents/skills/seedance-car-vehicle in your project. Codex loads it when a task matches its description.
Can I use Seedance Car Vehicle in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add LearnPrompt/awesome-seedance --skill seedance-car-vehicle -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/seedance-car-vehicle, .gemini/skills/seedance-car-vehicle, .github/skills/seedance-car-vehicle and .opencode/skills/seedance-car-vehicle in your project.
What does Seedance Car Vehicle need to run?
SKILL.md names no scripts, command-line tools or credentials: Seedance Car Vehicle is instructions for the agent only.
Does Seedance Car Vehicle access the network?
SKILL.md names 2 domains. As links in the text: goodcase.ai and github.com. This is read from the text; nothing was executed.
Is Seedance Car Vehicle safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Seedance Car Vehicle use?
Seedance Car Vehicle is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Seedance Car Vehicle use?
About 1.7k tokens (SKILL.md is roughly 6.9k 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 6.2k tokens, read only when the agent opens those files.
What are the alternatives to Seedance Car Vehicle?
Skills that share tags, products or a category with Seedance Car Vehicle: Seedance (songguoxs/seedance-prompt-skill, 2.9k stars), SN Motion HTML (OpenSenseNova/SenseNova-Skills, 5.7k stars), Seedance Prompt En (dexhunter/seedance2-skill, 4.2k stars) and Seedance Japanese Prompt Examples (Emily2040/seedance-2.0, 7.6k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Seedance Car Vehicle?
LearnPrompt (a GitHub user) maintains it in LearnPrompt/awesome-seedance, which has 1,947 GitHub stars. The repository holds 15 skills in this directory. The repository was last updated on October 11, 2026.
Source: LearnPrompt/awesome-seedance on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.