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 tech-stack-teardowngit 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/tech-stack-teardown)<a href="https://agentmods.dev/skills/gooseworks-ai/goose-skills/tech-stack-teardown"><img src="https://agentmods.dev/badge/skills/gooseworks-ai/goose-skills/tech-stack-teardown/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/tech-stack-teardown"><img src="https://agentmods.dev/badge/skills/gooseworks-ai/goose-skills/tech-stack-teardown.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 | $0.00079 | $0.03258 |
| Opus 5 | $0.00039 | $0.01629 |
| Sonnet 5 | $0.00016 | $0.00652 |
| Haiku 4.5 | $0.00008 | $0.00326 |
Grade A, and why
tech-stack-teardown scanned grade A with 1 finding 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
# curl (website source fetch) — included on macOS/Linux How it starts
The opening of the file, as written. The whole thing — 326 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Tech Stack Recon
Reverse-engineer a company's sales, marketing, and outbound infrastructure from public signals. No login, no API access to their tools needed — everything is derived from DNS records, website source code, technology profiling, blacklist databases, and public complaints.
What It Detects
| Category | Tools Detected |
|---|---|
| CRM | HubSpot, Salesforce (via SPF, website pixels, DNS) |
| Cold Email Tools | Smartlead, Instantly, Outreach, Salesloft, Lemlist (via SPF, DKIM, TXT records, website source) |
| People Databases | Apollo, ZoomInfo, Clearbit, 6sense (via website tracker scripts) |
| Email Delivery | SendGrid, Amazon SES, Postmark, Mailgun, Mandrill (via SPF includes, DKIM selectors) |
| Email Marketing | Mailchimp, Brevo, ActiveCampaign, Klaviyo (via DKIM selectors) |
| Ad Retargeting | LinkedIn Insight Tag, Facebook Pixel, AdRoll, Reddit Ads, Twitter Ads (via Apify profiler + source) |
| Website Builder | Webflow, Framer, Next.js, WordPress (via Apify profiler + source) |
| Chat / Support | Intercom, Drift, Crisp, Zendesk (via website source) |
| Analytics | Google Analytics, Segment, Mixpanel, Amplitude, PostHog, Heap (via website source) |
| Outbound Domains | Separate cold sending domains (via SPF-only Google Workspace + redirect to primary) |
How It Works
The skill runs 5 layers of detection, each revealing different signals:
Layer 1: DNS Records (Free, instant)
MX → Primary email provider (Google Workspace, Microsoft 365, etc.)
SPF → Every service authorized to send email on their behalf
DKIM → Cryptographic proof of which tools actually send email
DMARC → Email authentication policy (how strict they are)
TXT → Misc verifications (Smartlead tracking domains, tool verifications)
CNAME → Subdomains pointing to third-party services
This is the highest-signal layer. SPF and DKIM don't lie — if SendGrid is in their SPF, they use SendGrid.
Layer 2: Website Source Inspection (Free, instant)
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 · 326 lines · 79 tokens per session scan A 40b4b384b148
tech-stack-teardown is a skill published in the GitHub repository gooseworks-ai/goose-skills (1,202 stars, last pushed 11d ago), licensed MIT. It adds 79 tokens to every session and 3,258 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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