Goose Skills is a library of workflows and data APIs that lets coding agents handle growth and go-to-market work such as advertising, social media, content, SEO, lead generation, and customer research. It is intended for teams using Claude Code, Cursor, Codex, and similar agents. The catalogue entries are its reusable skills.
Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add gooseworks-ai/goose-skills --skill conference-speaker-scrapergit clone --depth 1 https://github.com/gooseworks-ai/goose-skillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/gooseworks-ai/goose-skills/conference-speaker-scraper)<a href="https://agentmods.dev/skills/gooseworks-ai/goose-skills/conference-speaker-scraper"><img src="https://agentmods.dev/badge/skills/gooseworks-ai/goose-skills/conference-speaker-scraper/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/gooseworks-ai/goose-skills/conference-speaker-scraper"><img src="https://agentmods.dev/badge/skills/gooseworks-ai/goose-skills/conference-speaker-scraper.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00045 | $0.00846 |
| Opus 5 | $0.00023 | $0.00423 |
| Sonnet 5 | $0.00009 | $0.00169 |
| Haiku 4.5 | $0.00005 | $0.00085 |
Grade A, and why
conference-speaker-scraper scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 85 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Conference Speaker Scraper
Extract speaker names, titles, companies, and bios from conference website /speakers pages. Supports direct HTML scraping with multiple extraction strategies, plus Apify fallback for JS-heavy sites.
Quick Start
No API key needed for direct scraping mode.
# Scrape speakers from a conference page
python3 skills/conference-speaker-scraper/scripts/scrape_speakers.py \
--url "https://example.com/speakers"
# Use Apify for JS-heavy sites
python3 skills/conference-speaker-scraper/scripts/scrape_speakers.py \
--url "https://example.com/speakers" --mode apify
# Custom conference name (otherwise inferred from URL)
python3 skills/conference-speaker-scraper/scripts/scrape_speakers.py \
--url "https://example.com/speakers" --conference "Sage Future 2026"
# Output formats
python3 skills/conference-speaker-scraper/scripts/scrape_speakers.py --url URL --output json # default
python3 skills/conference-speaker-scraper/scripts/scrape_speakers.py --url URL --output csv
python3 skills/conference-speaker-scraper/scripts/scrape_speakers.py --url URL --output summary
How It Works
Direct Mode (default)
Fetches the page HTML and tries multiple extraction strategies in order, using whichever returns the most results:
- Strategy A -- CSS class hints: Looks for speaker cards with class names containing "speaker", "presenter", "faculty", "panelist", "team-member"
- Strategy B -- Heading + paragraph patterns: Looks for repeated
<h2>/<h3>+<p>structures - Strategy C -- JSON-LD structured data: Checks for
<script type="application/ld+json">with speaker data - Strategy D -- Platform embeds: Detects Sched.com/Sessionize patterns used by many conferences
Apify Mode
Uses apify/cheerio-scraper actor with a custom page function that targets common speaker card selectors. Standard POST/poll/GET dataset pattern.
CLI Reference
| Flag | Default | Description |
|---|---|---|
--url |
required | Conference speakers page URL |
--conference |
inferred | Conference name (otherwise inferred from URL domain) |
--mode |
direct | direct (HTML scraping) or apify (Apify cheerio scraper) |
--output |
json | Output format: json, csv, or summary |
--token |
env var | Apify token (only needed for apify mode) |
--timeout |
300 | Max seconds for Apify run |
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 9d ago First seen · 85 lines · 45 tokens per session scan A 9e317e416400
conference-speaker-scraper is a skill published in the GitHub repository gooseworks-ai/goose-skills (1,202 stars, last pushed 11d ago), licensed MIT. It adds 45 tokens to every session and 846 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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