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
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/gooseworks-ai/goose-skillsnpx agentmods add skills/gooseworks-ai/goose-skills/funding-signal-monitorWrote 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/funding-signal-monitor)<a href="https://agentmods.dev/skills/gooseworks-ai/goose-skills/funding-signal-monitor"><img src="https://agentmods.dev/badge/skills/gooseworks-ai/goose-skills/funding-signal-monitor/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/funding-signal-monitor"><img src="https://agentmods.dev/badge/skills/gooseworks-ai/goose-skills/funding-signal-monitor.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 | $0.00057 | $0.02207 |
| Opus 5 | $0.00028 | $0.01104 |
| Sonnet 5 | $0.00011 | $0.00441 |
| Haiku 4.5 | $0.00006 | $0.00221 |
Grade A, and why
funding-signal-monitor 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 — 255 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Funding Signal Monitor
Detect recently-funded startups as buying signals. When a company raises a round, they have fresh capital, aggressive growth plans, and urgent needs for tools and services. This skill finds those companies across multiple sources, qualifies them, and outputs a ranked list ready for outreach.
Why This Works
When a company announces funding, they've:
- Received capital earmarked for growth (hiring, tooling, infrastructure)
- Committed to investors on aggressive milestones
- Entered a 12-18 month sprint to hit next-stage metrics
- Begun evaluating vendors immediately (the "post-raise buying window" is 1-3 months)
Series A-C companies are the sweet spot: enough money to buy, small enough to move fast.
Cost
| Component | Cost |
|---|---|
| Web Search (WebSearch tool) | Free |
| Hacker News (Algolia API) | Free |
| Twitter scraper (Apify) | ~$0.05-0.10 per run |
| Reddit scraper (Apify) | ~$0.05-0.10 per run |
Typical run: $0.10-0.20 total. Web Search + HN are free and provide the bulk of results.
Setup
1. Dependencies
pip3 install requests
2. Apify API Token (for Twitter/Reddit scrapers)
export APIFY_API_TOKEN="apify_api_YOUR_TOKEN_HERE"
Not required if you only want Web Search + HN results.
Usage
Phase 1: Configuration
Accept parameters from the user:
| Parameter | Required | Default | Description |
|---|---|---|---|
| target-stages | Yes | — | Comma-separated: "Series A, Series B, Series C" |
| target-industries | No | all | Filter: "SaaS, AI, fintech, healthtech" |
| min-amount | No | none | Minimum raise amount (e.g., "$5M") |
| lookback-days | No | 7 | How far back to search |
| output-path | No | stdout | Where to save the markdown report |
Phase 2: Multi-Source Search
Run these searches in parallel to maximize coverage:
A) Web Search (WebSearch tool)
Run 4-6 queries using the WebSearch tool. Vary the phrasing to catch different announcement styles:
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 · 255 lines · 57 tokens per session scan A d86fa38a1932
funding-signal-monitor is a skill published in the GitHub repository gooseworks-ai/goose-skills (1,202 stars, last pushed 11d ago), licensed MIT. It adds 57 tokens to every session and 2,207 once invoked, about $0.0003 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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