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 inbound-lead-triagegit 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/inbound-lead-triage)<a href="https://agentmods.dev/skills/gooseworks-ai/goose-skills/inbound-lead-triage"><img src="https://agentmods.dev/badge/skills/gooseworks-ai/goose-skills/inbound-lead-triage/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/inbound-lead-triage"><img src="https://agentmods.dev/badge/skills/gooseworks-ai/goose-skills/inbound-lead-triage.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 | $0.03667 |
| Opus 5 | $0.00039 | $0.01834 |
| Sonnet 5 | $0.00016 | $0.00733 |
| Haiku 4.5 | $0.00008 | $0.00367 |
Grade A, and why
inbound-lead-triage 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 — 376 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Inbound Lead Triage
Pulls all inbound leads from a specified period, classifies them by source urgency, qualifies against ICP, enriches with company/person context, and produces a prioritized action queue. Turns a messy inbox of form fills into a clear "who to call first" list.
When to Auto-Load
Load this composite when:
- User says "triage my inbound leads", "review new leads", "check demo requests"
- User wants to process a batch of inbound leads from any period
- User asks "who should I follow up with first?"
- A scheduled workflow triggers periodic inbound review
Architecture
[Lead Sources] → Step 1: Collect → Step 2: Classify & Rank → Step 3: Qualify → Step 4: Enrich → Step 5: Route & Respond
↓ ↓ ↓ ↓ ↓
Raw lead list Urgency-ranked list ICP-scored list Context-rich list Action queue + drafts
Each step has a clear input/output contract. Tools are configured once per client, not hardcoded.
Step 0: Configuration (Once Per Client)
On first run, ask the user to configure their lead sources and preferences. Save to the current working directory or wherever the user prefers (e.g., config/inbound-triage.json).
{
"lead_sources": {
"demo_requests": {
"source_tool": "HubSpot | Salesforce | Typeform | CSV | other",
"access_method": "API | CSV export | MCP tool | manual paste",
"fields_available": ["name", "email", "company", "title", "message"]
},
"free_trial_signups": {
"source_tool": "product database | Stripe | CSV | other",
"access_method": "API | CSV export | manual paste",
"fields_available": ["name", "email", "company", "signup_date", "plan"]
},
"content_downloads": {
"source_tool": "HubSpot | Marketo | CSV | other",
"access_method": "API | CSV export | manual paste",
"fields_available": ["name", "email", "company", "content_title", "download_date"]
},
"webinar_registrations": {
"source_tool": "Zoom | Luma | CSV | other",
"access_method": "API | CSV export | manual paste",
"fields_available": ["name", "email", "company", "webinar_title", "attended"]
},
"chatbot_conversations": {
"source_tool": "Intercom | Drift | Crisp | CSV | other",
"access_method": "API | CSV export | manual paste",
"fields_available": ["name", "email", "company", "conversation_summary", "intent"]
}
},
"urgency_overrides": {},
"response_preferences": {
"demo_request_sla": "< 1 hour",
"trial_signup_sla": "< 4 hours",
"default_sla": "< 24 hours"
},
"qualification_prompt_path": "path/to/existing/qualification-prompt.md or null"
}
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 · 376 lines · 79 tokens per session scan A 5e5b6ee3a8bb
inbound-lead-triage 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 3,667 once invoked, about $0.0004 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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