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 enrichment-nynegit 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/enrichment-nyne)<a href="https://agentmods.dev/skills/gooseworks-ai/goose-skills/enrichment-nyne"><img src="https://agentmods.dev/badge/skills/gooseworks-ai/goose-skills/enrichment-nyne/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/enrichment-nyne"><img src="https://agentmods.dev/badge/skills/gooseworks-ai/goose-skills/enrichment-nyne.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 7 findings, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high Privilege Escalation · line 12 Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
- high Privilege Escalation · line 14 Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
- high Privilege Escalation · line 15 Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
- high Privilege Escalation · line 18 Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
- high Tool Misuse · line 67 Tool parameters are crafted to achieve unintended or unsafe behavior. Parameter abuse can bypass intended safety checks (e.g. shell=True, --force, dangerous glob patterns).Fix: Validate all tool parameters against an allowlist. Reject dangerous parameter values (shell=True, --force, -rf /) and use safe defaults.
- medium MCP Rug Pull · line 18 npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.Fix: Pin the version: npx @scope/[email protected]
- medium Data Exfiltration · line 67 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
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 | $0.00023 | $0.03443 |
| Opus 5 | $0.00012 | $0.01722 |
| Sonnet 5 | $0.00005 | $0.00689 |
| Haiku 4.5 | $0.00002 | $0.00344 |
Grade A, and why
enrichment-nyne 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 -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \ How it starts
The opening of the file, as written. The whole thing — 309 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Nyne - Intelligence & Enrichment API
Setup
Read your credentials from ~/.gooseworks/credentials.json:
export GOOSEWORKS_API_KEY=$(python3 -c "import json;print(json.load(open('$HOME/.gooseworks/credentials.json'))['api_key'])")
export GOOSEWORKS_API_BASE=$(python3 -c "import json;print(json.load(open('$HOME/.gooseworks/credentials.json')).get('api_base','https://api.gooseworks.ai'))")
If ~/.gooseworks/credentials.json does not exist, tell the user to run: npx gooseworks login
All endpoints use Bearer auth: -H "Authorization: Bearer $GOOSEWORKS_API_KEY"
Enrich person and company data with social profiles, events, interests, funding, and more.
Capabilities
- Person Search: Search people by company, role, geography, and name
- Person Enrichment: Enrich person data from email, phone, or social URL
- Person Events: Find life events and career milestones
- Person Social Profiles: Get all social media profiles for a person
- Person Single Social Lookup: Look up a specific social media profile
- Person Interactions: Get social media interactions
- Person Interests: Get interests, skills, and topics a person engages with
- Person Newsfeed: Get social media newsfeed data
- Company Search: Search companies by industry and keywords
- Company Enrichment: Enrich company data from email, phone, or social URL
- Company Check Seller: Check if a company sells a specific product/service
- Company Needs: Analyze company needs from SEC filings and content
- Company Funding: Get company funding history and investment details
- Company Funders: Get investors and funders associated with a company
Usage
Person Search
Search people by company name, role, geography, and person name. Returns requestId for polling.
Parameters:
- query* (string) - Natural language search query (max 1000 chars)
- limit (integer) - Max results per request (default: 10, max: 100)
- offset (integer) - Starting position in results (default: 0, max: 999)
- cursor (string) - Pagination token from previous response
- request_id (string) - Request ID to continue fetching from same search
- force_new (boolean) - Force fresh search even if cached (default: false)
- type (string) - Search tier: light (fastest), medium, premium (best quality). Default: premium
- show_emails (boolean) - Include email addresses in results (default: false)
- show_phone_numbers (boolean) - Include phone numbers in results (default: false)
- require_emails (boolean) - Only return profiles with emails (default: false)
- require_phone_numbers (boolean) - Only return profiles with phones (default: false)
- require_phones_or_emails (boolean) - Only return profiles with phone OR email (default: false)
- insights (boolean) - Include AI-generated relevance insights (default: false, not available for light)
- high_freshness (boolean) - Prioritize recently updated profiles (default: false, not available for light)
- profile_scoring (boolean) - Include AI relevance scoring (default: false)
- callback_url (string) - URL to receive results via webhook
- custom_filters (object) - Structured filters (locations, industries, titles, etc.)
What ships with it
1 file 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 · 309 lines · 23 tokens per session scan A b40598b1a73c
enrichment-nyne is a skill published in the GitHub repository gooseworks-ai/goose-skills (1,202 stars, last pushed 11d ago), licensed MIT. It adds 23 tokens to every session and 3,443 once invoked, about $0.0001 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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