What is inbound-lead-qualification?

A tool for checking inbound leads against criteria such as company size, industry, use case, and the person's role. It also checks for duplicate records and existing customer relationships, then produces a scored CSV with explanations.

Use it to score lead fit, explain qualification decisions, and flag existing relationships or pipeline overlap.

It reduces inconsistent manual lead screening and helps prevent duplicate or overlapping pipeline records.

inbound-lead-qualification — Skill by gooseworks-ai/gooseworks-skills

Install

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.

Any agent

npx skills add gooseworks-ai/gooseworks-skills --skill inbound-lead-qualification

Clone the repo

git clone --depth 1 https://github.com/gooseworks-ai/gooseworks-skills

Made for: Claude Code, Codex.

Wrote 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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/gooseworks-ai/gooseworks-skills/inbound-lead-qualification/github.svg)](https://agentmods.dev/skills/gooseworks-ai/gooseworks-skills/inbound-lead-qualification)

Your own site

<a href="https://agentmods.dev/skills/gooseworks-ai/gooseworks-skills/inbound-lead-qualification"><img src="https://agentmods.dev/badge/skills/gooseworks-ai/gooseworks-skills/inbound-lead-qualification/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/gooseworks-ai/gooseworks-skills/inbound-lead-qualification"><img src="https://agentmods.dev/badge/skills/gooseworks-ai/gooseworks-skills/inbound-lead-qualification.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 77 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 4,498 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

Origin unknown No closer match found in the catalogue.

Token cost

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	$0.00077	$0.04498
Opus 5.5	$0.00031	$0.01799
Sonnet 5.5	$0.00015	$0.00900
Haiku 4.5	$0.00008	$0.00450

Measured 2mo ago against content hash 66a37621b948, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

inbound-lead-qualification 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 2mo 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.

skills/composites/inbound-lead-qualification/SKILL.md · 475 lines

The source is not reproduced here

No licence file

Read it on GitHub

Files

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.

skill.meta.json 333 B

Changes

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.

2mo ago First seen · 475 lines · 77 tokens per session scan A 66a37621b948

Subscribe to this mod's changes

inbound-lead-qualification is a skill published in the GitHub repository gooseworks-ai/gooseworks-skills (12 stars, last pushed 7mo ago), with no licence file. It adds 77 tokens to every session and 4,498 once invoked, about $0.0003 per session on Opus 5.5. 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.

Analytics and metrics Marketing and SEO lead-generation

inbound-lead-qualification next to 6 skills from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
inbound-lead-qualificationgooseworks-ai/gooseworks-skills	Skill	12	7mo ago	none	A	77	Claude Code, Codex
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