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 CALLE-AI/awesome-phone-call-agents --skill lead-qualification-callgit clone --depth 1 https://github.com/CALLE-AI/awesome-phone-call-agentsWrote 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/calle-ai/awesome-phone-call-agents/lead-qualification-call)<a href="https://agentmods.dev/skills/calle-ai/awesome-phone-call-agents/lead-qualification-call"><img src="https://agentmods.dev/badge/skills/calle-ai/awesome-phone-call-agents/lead-qualification-call/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/calle-ai/awesome-phone-call-agents/lead-qualification-call"><img src="https://agentmods.dev/badge/skills/calle-ai/awesome-phone-call-agents/lead-qualification-call.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00047 | $0.01474 |
| Opus 5.5 | $0.00019 | $0.00590 |
| Sonnet 5.5 | $0.00009 | $0.00295 |
| Haiku 4.5 | $0.00005 | $0.00147 |
Grade A, and why
lead-qualification-call 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 1mo 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 — 116 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Lead Qualification Call
Use this skill when a sales or marketing team has warm inbound leads that have explicitly consented to a call and wants one disclosed CALL-E phone call to qualify them. The call collects needs, budget range, timeline, decision authority, and interest level, and returns a fail-closed structured JSON result with a disposition a human or CRM can act on.
This skill qualifies a lead. It does not sell, book, close, or write to a CRM. A human reviews the result and owns every next step, including any CRM update.
When To Use
- Qualify leads from an opt-in form, callback request, or consent-gated campaign
- Collect needs, budget range, timeline, decision authority, and interest in one disclosed call
- Separate high-intent leads from low-intent ones with transcript-evidenced structured results
- Feed a disposition (qualified / needs_human / not_interested) to a human-run sales queue or CRM routing
When Not To Use
- Cold outreach, scraped lists, unsolicited marketing, or SPAM-style dialing
- Medical, legal, financial, emergency, collections, or political calls
- Selling, closing, negotiating, or collecting payment on the call
- Calling a number the user did not provide and authorize
- Hidden retries, recurring schedules, or provider-side campaigns
- Writing to a CRM or booking a meeting before a human reviews the result
Required Inputs
lead_id: stable local identifier (3-64 chars of letters, digits, dot, dash, underscore)campaign_id: campaign or source-batch identifier for idempotency and routinglead_source: Google Form, website callback, ticket, partner, or other consent-gated sourceto_phone_e164: E.164, authorizedconsent: must betrueauthorized_reason: why this specific call is allowedcompany_name: business name disclosed on the callproduct_offer: what is being qualified (offer name or one-line description)timezone: IANA timezone for quiet-hours decisionsqualification_fields: the subset of BANT fields the team wants, chosen from the schema contract
What ships with it
7 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.
- 1mo ago First seen · 116 lines · 47 tokens per session scan A aee06a8ef955
lead-qualification-call is a skill published in the GitHub repository CALLE-AI/awesome-phone-call-agents (109 stars, last pushed yesterday), licensed MIT. It adds 47 tokens to every session and 1,474 once invoked, about $0.0002 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 2026-09-15.
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