Googlesheets Automation
davepoon/buildwithclaude
Automate Google Sheets operations (read, write, format, filter, manage spreadsheets) via Rube MCP (Composio).
Detect buying intent from job postings. An agent skill from gooseworks-ai/goose-skills.
Install Job Posting Intent
$ npx skills add gooseworks-ai/goose-skills --skill job-posting-intent -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install gooseworks-ai/goose-skills job-posting-intent --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/gooseworks-ai/goose-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/lead-generation/capabilities/job-posting-intent .claude/skills/job-posting-intent && 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 "job-posting-intent" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/lead-generation/capabilities/job-posting-intent into .claude/skills/job-posting-intent/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "job-posting-intent", 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/gooseworks-ai/goose-skills/tree/main/skills/lead-generation/capabilities/job-posting-intentType 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 gooseworks-ai/goose-skills --skill job-posting-intent -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install gooseworks-ai/goose-skills job-posting-intent --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/gooseworks-ai/goose-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/lead-generation/capabilities/job-posting-intent .agents/skills/job-posting-intent && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "job-posting-intent" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/lead-generation/capabilities/job-posting-intent into .agents/skills/job-posting-intent/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "job-posting-intent", 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 gooseworks-ai/goose-skills --skill job-posting-intent -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install gooseworks-ai/goose-skills job-posting-intent --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/gooseworks-ai/goose-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/lead-generation/capabilities/job-posting-intent .cursor/skills/job-posting-intent && 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 "job-posting-intent" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/lead-generation/capabilities/job-posting-intent into .cursor/skills/job-posting-intent/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "job-posting-intent", 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/gooseworks-ai/goose-skills.git --path skills/lead-generation/capabilities/job-posting-intent--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 gooseworks-ai/goose-skills --skill job-posting-intent -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install gooseworks-ai/goose-skills job-posting-intent --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/gooseworks-ai/goose-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/lead-generation/capabilities/job-posting-intent .gemini/skills/job-posting-intent && 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 "job-posting-intent" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/lead-generation/capabilities/job-posting-intent into .gemini/skills/job-posting-intent/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "job-posting-intent", 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 gooseworks-ai/goose-skills job-posting-intentInstalls 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 gooseworks-ai/goose-skills --skill job-posting-intent -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/gooseworks-ai/goose-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/lead-generation/capabilities/job-posting-intent .github/skills/job-posting-intent && 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 "job-posting-intent" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/lead-generation/capabilities/job-posting-intent into .github/skills/job-posting-intent/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "job-posting-intent", 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 gooseworks-ai/goose-skills --skill job-posting-intent -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install gooseworks-ai/goose-skills job-posting-intent --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/gooseworks-ai/goose-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/lead-generation/capabilities/job-posting-intent .opencode/skills/job-posting-intent && 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 "job-posting-intent" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/lead-generation/capabilities/job-posting-intent into .opencode/skills/job-posting-intent/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "job-posting-intent", 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
job-posting-intent- GitHub stars
- 1.2k
- Used in
- 1 other repo
- Token cost
- ~2.2k tokens
- SKILL.md length
- 841 words
- Files
- 5 (incl. scripts)
- Skills in repo
- 273
- Repo updated
- First seen
- Licence
- MIT
At a glance
Detect buying intent from job postings. An agent skill from gooseworks-ai/goose-skills.
- Works in 6 steps: Apify API Token → Install dependencies → Rube/Composio (for Google Sheets) → …
- Tasks that involve Excel spreadsheets
- SKILL.md covers Why This Works, Cost, Setup and Usage, plus 7 more sections
- Runs Python scripts from its folder; calls python3 and pip3; reaches console.apify.com; needs RUBE_TOKEN and APIFY_API_TOKEN
What it does
Job Posting Intent is an agent skill from gooseworks-ai/goose-skills. Detect buying intent from job postings. When a company posts a job in your problem area, they've allocated budget and are actively thinking about the problem. This skill finds those companies, qualifies them, extracts personalization context, and outputs everything to a Google Sheet. Does NOT do outreach — just delivers qualified leads with reasoning.
Its SKILL.md is about 2.2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 5 other files, including scripts (for example `scripts/create_sheet.py`, `scripts/create_sheet_mcp.py` and `scripts/search_jobs.py`).
It sits in Documents & Office, covering Excel spreadsheets, App automation through connectors and Web scraping. It works with Google Sheets, Apify, Composio and LinkedIn. The repository describes itself as: Library of Growth & GTM skills + data APIs for Claude Code, Codex, Cursor to run ads, social, content, lead gen, seo and data scraping. The licence is MIT.
When your agent uses it
- Tasks that involve Excel spreadsheets
- Tasks that involve App automation through connectors
- Tasks that involve Web scraping
Example prompts
- “/job-posting-intent”
Requirements
- Python 3
- A credential in APIFY_API_TOKEN
- A credential in RUBE_TOKEN
Workflow steps
6 steps, taken from the step headings in SKILL.md.
What it can do on your machine
Read from SKILL.md and the folder at commit c650c6d. 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
Ships 3 files in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
python3pip3
From the folder's file list and the shell code blocks in SKILL.md.
Network
Hosts in commands or code, which the agent is likely to contact:
console.apify.com
Also links to:
apify.com
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names these keys or tokens, usually read from environment variables:
RUBE_TOKENAPIFY_API_TOKEN
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Job Posting Intent loads about 2.2k tokens when it runs. Until then it costs about 93 tokens; SKILL.md has 841 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); the scripts in this folder are not scanned.
SKILL.md
The full file from gooseworks-ai/goose-skills at commit c650c6d, republished under its MIT licence (© gooseworks-ai). 841 words, ~2,191 tokens.
Download SKILL.mdSave it as
.claude/skills/job-posting-intent/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.- name
- job-posting-intent
- description
- Detect buying intent from job postings. When a company posts a job in your problem area, they've allocated budget and are actively thinking about the problem. This skill finds those companies, qualifies them, extracts personalization context, and outputs everything to a Google Sheet. Does NOT do outreach — just delivers qualified leads with reasoning.
- version
- 1.1.0
- tags
- lead-generation, outreach
Job Posting Intent Detection
Find companies that are hiring for roles related to the problem you solve. A job posting is a budget signal — the company has allocated money to solve a problem your product addresses.
Results are automatically exported to a Google Sheet with signal strength, decision-maker suggestions, outreach angles, and personalization context.
Why This Works
When a company posts a job, they've:
- Allocated budget (headcount is expensive)
- Acknowledged the problem exists
- Started actively solving it
If your product helps solve that problem faster, cheaper, or better than a hire alone, the timing is perfect.
Cost
Apify Actor: harvestapi/linkedin-job-search (pay-per-event)
| Component | Cost |
|---|---|
| Actor start (per run) | $0.001 |
| Per job result | $0.001 |
| Apify platform fee | +20% |
Typical run costs:
| Scenario | Titles | Jobs/title | Runs | Est. Cost |
|---|---|---|---|---|
| Quick scan | 3 | 25 | 3 | ~$0.09 |
| Standard | 5 | 25 | 5 | ~$0.16 |
| Deep search | 5 | 100 | 5 | ~$0.60 |
| Multi-location | 5×3 | 25 | 15 | ~$0.47 |
Google Sheet creation is free (uses Rube/Composio integration).
Always run --estimate-only first to see the Apify cost before executing.
Track usage: https://console.apify.com/billing
Setup
1. Apify API Token
# Get your token at https://console.apify.com/account/integrations
export APIFY_API_TOKEN="apify_api_YOUR_TOKEN_HERE"2. Install dependencies
pip3 install requests3. Rube/Composio (for Google Sheets)
Google Sheet creation uses Rube MCP with Composio. The token is preconfigured.
If it stops working, update the RUBE_TOKEN env var or the default in search_jobs.py.
Usage
Step 1: Define your ICP and target titles
Think about it this way: "If a company is hiring for [role], it means they're investing in [problem area you solve]."
Examples:
- GTM agency: "Growth Marketing Manager", "SDR Manager", "RevOps Engineer", "GTM Engineer"
- AI dev tools: "AI Engineer", "ML Ops Engineer", "Prompt Engineer", "LLM Engineer"
- Sales automation: "SDR", "BDR Manager", "Sales Ops", "Revenue Operations"
Step 2: Estimate cost
python3 scripts/search_jobs.py \
--titles "GTM Engineer,SDR Manager,Head of Demand Gen" \
--locations "United States" \
--max-per-title 25 \
--estimate-onlyStep 3: Run the search
The script searches LinkedIn Jobs, groups results by company, qualifies leads, and creates a Google Sheet automatically.
# Standard search (creates Google Sheet)
python3 scripts/search_jobs.py \
--titles "GTM Engineer,SDR Manager,RevOps Engineer" \
--locations "United States" \
--max-per-title 25
# Deep search with custom sheet name
python3 scripts/search_jobs.py \
--titles "AI Engineer,ML Ops Engineer,Prompt Engineer" \
--locations "United States" \
--max-per-title 50 \
--sheet-name "AI Hiring Signals - Feb 2026"
# Filter results to only relevant titles (LinkedIn search is fuzzy)
python3 scripts/search_jobs.py \
--titles "GTM Engineer,Growth Marketing Manager,SDR Manager" \
--locations "United States" \
--relevance-keywords "gtm,growth,sdr,marketing,demand gen,revops"
# Also save raw JSON alongside the sheet
python3 scripts/search_jobs.py \
--titles "GTM Engineer,SDR Manager" \
--locations "United States" \
--output results.json
# Skip Google Sheet, console + JSON only
python3 scripts/search_jobs.py \
--titles "GTM Engineer" \
--no-sheet --jsonWhat the Script Does
- Searches LinkedIn Jobs for each title/location combination via Apify
- Groups results by company (deduplicates)
- Computes signal strength based on number of relevant postings + seniority
- Extracts personalization context from job descriptions (tech stack, growth signals, pain points)
- Suggests decision-maker title (one level above the hired role)
- Suggests outreach angle (accelerate / replace / multiply the hire)
- Creates a Google Sheet with all qualified leads
- Prints a console summary of all companies found
Options Reference
Required:
--titles Comma-separated job titles to search
Optional:
--locations Comma-separated locations (default: no filter)
--max-per-title Max jobs per title per location (default: 25)
--posted-limit Recency: 1h, 24h, week, month (default: week)
--output, -o Also save raw JSON to this file path
--json Print JSON output to console
--estimate-only Show cost estimate without running
--no-sheet Skip Google Sheet creation
--sheet-name Custom Google Sheet title (default: "Job Posting Intent Signals - {date}")
--relevance-keywords Comma-separated keywords to filter truly relevant postingsGoogle Sheet Columns
| Column | Description |
|---|---|
| Signal | HIGH / MEDIUM / LOW based on # postings + seniority |
| Company | Company name |
| Employees | Employee count |
| Industry | Company industry |
| Website | Company website |
| Company LinkedIn URL | |
| # Postings | Number of relevant job postings found |
| Job Titles | The actual job titles posted |
| Job URL | Link to the primary job posting |
| Location | Job location(s) |
| Decision Maker | Suggested title of person to contact |
| Outreach Angle | Accelerate / Replace / Multiply the hire |
| Tech Stack | Technologies mentioned in job descriptions |
| Growth Signals | Growth indicators (first hire, scaling, series stage) |
| Pain Points | Pain indicators (automate, optimize, manual processes) |
| Description | Company description snippet |
Show full SKILL.md (364 more words)Show less
AI Agent Integration
When using this skill as an agent, the typical flow is:
- User describes their product and the types of roles that signal intent
- Agent runs
--estimate-onlyand confirms cost with user - Agent runs the search (Google Sheet is created automatically)
- Agent shares the Google Sheet link with the user
- Agent provides a brief summary of top leads and why they're qualified
Example prompt:
"Find companies hiring growth marketers and SDRs in the US this week. These are signals they need GTM help. We sell AI-powered GTM systems to Series A-C B2B SaaS companies with 20-200 employees."
The agent should NOT:
- Do any outreach
- Send any emails or messages
- Contact anyone
The agent SHOULD:
- Present cost estimate before running
- Run the search (sheet is created automatically)
- Share the Google Sheet link
- Provide a brief summary of the top leads with reasoning
Outreach Angle Templates
The script auto-assigns an angle based on job posting context:
"Accelerate while you hire" — Best when: posting is recent, role is junior/mid
They're looking for someone to do X. Your product can deliver X outcomes while they ramp the hire.
"Replace the hire" — Best when: small company, "first hire" signals, building from scratch
They want the output of a [role] but may not need a full-time person if they use your product.
"Multiply the hire" — Best when: company is clearly scaling, multiple related roles
When their new hire starts, your product makes them 10x more effective from day one.
Troubleshooting
"No jobs found"
- Try broader titles (e.g., "marketing" instead of "demand generation specialist")
- Extend the time window:
--posted-limit month - Remove location filter to search globally
"Too many irrelevant results"
- Use
--relevance-keywordsto filter by title keywords - LinkedIn's search is fuzzy — the grouping and qualification step helps filter
"Google Sheet creation failed"
- Check that Rube MCP is accessible (the token may have expired)
- Use
--no-sheet --json --output results.jsonto save results without a sheet - You can create the sheet later with
scripts/create_sheet_mcp.py
High cost estimate
- Reduce
--max-per-title(25 is usually enough) - Search fewer titles
- Use
--posted-limit 24hfor a quick daily scan
Links
© gooseworks-ai, 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 4 other files (scripts) in skills/lead-generation/capabilities/job-posting-intent of gooseworks-ai/goose-skills.
- SKILL.md
- scripts/create_sheet.py
- scripts/create_sheet_mcp.py
- scripts/search_jobs.py
- skill.meta.json
Open the folder on GitHubat commit c650c6d
Used in 1 other repository
We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in gooseworks-ai/goose-skills, which our catalogue first saw on October 9, 2026.
Compare with similar skills
Job Posting Intent 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 |
|---|---|---|---|---|---|---|
| Job Posting Intent this skillgooseworks-ai/goose-skills | 1.2k | 1 repos | ~2.2k | Automated safety check: Pass | MIT | |
| Googlesheets Automationdavepoon/buildwithclaude | 3.6k | 7 repos | ~2.5k | Automated safety check: Pass | MIT | |
| Apify Marketing Agency Databaseapify/awesome-skills | 266 | — | ~2.5k | Automated safety check: Pass | MIT | |
| Announce Articleopen-cqrs/opencqrs | 118 | — | ~2.6k | Automated safety check: Notes | Apache-2.0 | |
| Spreadsheet Opsericrisco/rsc-harness | 180 | — | ~2.9k | Automated safety check: Pass | MIT | |
| Managing Google Workspacetaylorwilsdon/google_workspace_mcp | 3.3k | — | ~2.9k | Automated safety check: Pass | MIT |
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Questions about Job Posting Intent
What does Job Posting Intent do?
Detect buying intent from job postings. An agent skill from gooseworks-ai/goose-skills. Job Posting Intent is an agent skill from gooseworks-ai/goose-skills. Detect buying intent from job postings.
When should I use Job Posting Intent?
Job Posting Intent fits situations like: tasks that involve Excel spreadsheets; tasks that involve App automation through connectors; tasks that involve Web scraping.
How do I install Job Posting Intent in Claude Code?
Run `npx skills add gooseworks-ai/goose-skills --skill job-posting-intent -a claude-code`. Or copy the skill folder (skills/lead-generation/capabilities/job-posting-intent in gooseworks-ai/goose-skills) into .claude/skills/job-posting-intent in your project. Claude Code loads it when a task matches its description.
How do I install Job Posting Intent in Codex?
Run `npx skills add gooseworks-ai/goose-skills --skill job-posting-intent -a codex`. Or copy the skill folder (skills/lead-generation/capabilities/job-posting-intent in gooseworks-ai/goose-skills) into .agents/skills/job-posting-intent in your project. Codex loads it when a task matches its description.
Can I use Job Posting Intent 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 gooseworks-ai/goose-skills --skill job-posting-intent -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/job-posting-intent, .gemini/skills/job-posting-intent, .github/skills/job-posting-intent and .opencode/skills/job-posting-intent in your project.
What does Job Posting Intent need to run?
Going by SKILL.md and its folder, Job Posting Intent needs Python for the scripts in its folder, the command-line tools its instructions call (python3 and pip3) and credentials named RUBE_TOKEN and APIFY_API_TOKEN. Our summary lists: Python 3; A credential in APIFY_API_TOKEN; A credential in RUBE_TOKEN.
Does Job Posting Intent access the network?
SKILL.md names 2 domains. In commands or code: console.apify.com; the agent is likely to contact it when it follows the instructions. As links in the text: apify.com. This is read from the text; nothing was executed.
Is Job Posting Intent 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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
What licence does Job Posting Intent use?
Job Posting Intent 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 Job Posting Intent use?
About 2.2k tokens (SKILL.md is roughly 8.8k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Job Posting Intent?
Skills that share tags, products or a category with Job Posting Intent: Googlesheets Automation (davepoon/buildwithclaude, 3.6k stars), Apify Marketing Agency Database (apify/awesome-skills, 266 stars), Announce Article (open-cqrs/opencqrs, 118 stars) and Spreadsheet Ops (ericrisco/rsc-harness, 180 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Job Posting Intent?
gooseworks-ai (a GitHub organization) maintains it in gooseworks-ai/goose-skills, which has 1,240 GitHub stars. The repository holds 273 skills in this directory. The repository was last updated on October 8, 2026.
Source: gooseworks-ai/goose-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.