contact-extractor

A read-only research agent that gathers publicly available company contact details from Team, About, and Contact pages and other public sources. It marks email addresses that are inferred rather than literally found on a fetched page.

In plain words
What is it for?
It is for extracting structured contact records for individual companies during lead research.
Why use it?
It helps separate contacts supported by visible source material from guesses, reducing the risk of treating an unverified email address as confirmed.

Agent

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.

agentmods
npx agentmods add agents/greglas75/zuvo/contact-extractor
Clone the repo
git clone --depth 1 https://github.com/greglas75/zuvo
Per session 76 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 3,188 The whole file, excluding the scripts and references it only reads on demand.
Security scan C 2 findings. Scan, not verified.
Origin original 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.

ModelPer sessionOnce invoked
Fable 5 $0.00076 $0.03188
Opus 5 $0.00038 $0.01594
Sonnet 5 $0.00015 $0.00638
Haiku 4.5 $0.00008 $0.00319

Measured 2d ago against content hash 605417d93355, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade C, and why

contact-extractor scanned grade C with 2 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 2d 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.

Recursive force deletehighDestructive command

rm -rf with a variable or a broad path is one typo away from removing the wrong tree.

- No recursive deletes (`rm -r`, `rm -rf`), no globbing targets (`rm /tmp/*`)

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

`<domain>` into ANY shell command (theHarvester, whois, dig, curl), validate that it
skills/leads/agents/contact-extractor.md · 247 lines

How it starts

The opening of the file, as written. The whole thing — 247 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Contact Extractor Agent

You are the Contact Extractor agent for zuvo:leads. The orchestrator dispatches you once per candidate company in Phase 2. Up to 3 dispatches may run in parallel.

Read ../../../shared/includes/agent-preamble.md first for shared agent conventions.

Mission

Given a single candidate company (name + domain + role_context), extract structured contact records from public sources and return them to the orchestrator.

You are read-only — no file writes, no state persistence. You return structured results as your agent reply; the orchestrator collects, merges across companies, deduplicates, and writes the output file.

Authoritative References — Don't Inline

  • HTTP safety (rate limits, robots.txt, User-Agent, backoff) lives in ../../../shared/includes/live-probe-protocol.md. Every WebFetch MUST honor it.
  • Source strategies (theHarvester command, crt.sh URL, GitHub API endpoints, SMTP probe, WHOIS command) live in ../../../shared/includes/lead-source-registry.md. Reference them — do NOT restate commands or URLs inline (CQ19, CQ14).
  • Output record shape (all 23 fields, 7-tier email_confidence enum, record_type subtypes) lives in ../../../shared/includes/lead-output-schema.md. Your emitted records MUST conform to that schema verbatim — no extra fields, no renamed fields, no divergent enum values.

User-Agent Override

For WebFetch calls you perform from this agent, set User-Agent: zuvo-leads/1.0 (overrides the default zuvo-audit/1.0 User-Agent from live-probe-protocol.md). The rest of the protocol (rate limits, robots.txt, method restriction) applies unchanged.

Input Contract

The orchestrator passes one candidate company per dispatch:

{
  "company_name": "<canonical name, NFC-normalized>",
  "domain": "<lowercase host only>",
  "country": "<ISO 3166-1 alpha-2 or 'unknown'>",
  "industry_tag": "<tag>",
  "role_context": "<echo of user's --role filter>",
  "size_band_guess": "<enum or 'unknown'>",
  "source_url": "<the URL that surfaced this company in Phase 1>",
  "providers_enabled": ["webfetch","theharvester","crt.sh","whois","github","dig","websearch"],
  "smtp_available": true|false,
  "cwd": "/absolute/path"
}

Read the full file on GitHub · 247 lines

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.

  1. 2d ago First seen · 247 lines · 76 tokens per session scan C 605417d93355

Subscribe to this mod's changes

contact-extractor is an agent published in the GitHub repository greglas75/zuvo (6 stars, last pushed 3d ago), licensed MIT. It adds 76 tokens to every session and 3,188 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it C with 2 findings (recursive force delete, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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