deduplicate

deduplicate is a skill for Claude Code from Frontal-so/outbound-skills. It costs 92 tokens per session (1,097 once invoked), scanned A, original, MIT.

A data-cleaning skill that finds duplicate people or company records and combines information from several lists into cleaner records.

In plain words
What is it for?
Use it to match records by email, LinkedIn URL, company details, or other fields, then merge overlapping data sources.
Why use it?
It prevents repeated outreach, wasted data-enrichment credits, and misleading campaign results caused by duplicate records.

Skill for Claude Code

Written for Claude Code: installed under .claude/.

Good fit Use it to match records by email, LinkedIn URL, company details, or other fields, then merge overlapping data sources.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/frontal-so/outbound-skills/deduplicate
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 Frontal-so/outbound-skills --skill deduplicate
Clone the repo
git clone --depth 1 https://github.com/Frontal-so/outbound-skills

Made for: Claude Code.

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.

agentmods badge for deduplicate

README.md
[![agentmods](https://agentmods.dev/badge/skills/frontal-so/outbound-skills/deduplicate/github.svg)](https://agentmods.dev/skills/frontal-so/outbound-skills/deduplicate)
Your own site
<a href="https://agentmods.dev/skills/frontal-so/outbound-skills/deduplicate"><img src="https://agentmods.dev/badge/skills/frontal-so/outbound-skills/deduplicate/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.

agentmods 80×15 button for deduplicate

Your own site · 80×15
<a href="https://agentmods.dev/skills/frontal-so/outbound-skills/deduplicate"><img src="https://agentmods.dev/badge/skills/frontal-so/outbound-skills/deduplicate.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 92 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,097 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 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 5.1 $0.00092 $0.01097
Opus 5 $0.00046 $0.00549
Sonnet 5 $0.00018 $0.00219
Haiku 4.5 $0.00009 $0.00110

Measured 9d ago against content hash 8c0431da4d30, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

deduplicate 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.

master-skills/list-building/.claude/skills/deduplicate/SKILL.md · 92 lines

How it starts

The opening of the file, as written. The whole thing — 92 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Deduplicate — Sub-Skill

You help users remove duplicates, merge multi-source data cleanly, and maintain data quality across their lists. Always read the reference files before responding.

References

  • Read {SKILL_BASE}/resources/data-validation.md — for verification context and data quality metrics.
  • Read {SKILL_BASE}/resources/templates/beginner-workflow.md — section: Step 3 (Merge Columns).

Why Deduplication Matters

  • Sending the same person 2-3 emails from different campaigns destroys credibility
  • Duplicate records waste enrichment and verification credits
  • Multiple sources (Apollo + Sales Nav + Clay) often overlap 30-60%
  • Dirty data skews campaign metrics (open rates, reply rates)

Deduplication Strategies

1. Match Keys (Priority Order)

Match Key Reliability Use Case
Email address Highest Primary dedup key
LinkedIn URL High When emails differ across sources
First + Last + Company Domain Medium When no email/LinkedIn available
Phone number Medium Secondary validation
First + Last + Title + Location Low Last resort, risk of false matches

2. Clay Auto-Dedupe

  • Clay automatically deduplicates on import when using integrations
  • For CSV imports: enable "Deduplicate" option during upload
  • Match on: Email (primary) or LinkedIn URL (secondary)
  • Keeps the most recently enriched record by default

3. Merge Columns (Multi-Source)

When combining data from multiple providers:

Source 1 (Apollo): email_apollo, phone_apollo, title_apollo
Source 2 (Sales Nav): email_sn, phone_sn, title_sn
Source 3 (Clay): email_clay, phone_clay, title_clay
    |
    v
Merge into: final_email, final_phone, final_title

Priority rule: Use the most recently verified data point. If both are recent, prefer the source with higher historical accuracy for that field.

4. Cross-Campaign Dedup

  • Maintain a master suppression list of all previously contacted prospects
  • Before launching any campaign, cross-reference against this list
  • Include: contacted, bounced, unsubscribed, replied-not-interested
  • Update after every campaign completes

Read the full file on GitHub · 92 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. 9d ago First seen · 92 lines · 92 tokens per session scan A 8c0431da4d30

Subscribe to this mod's changes

deduplicate is a skill published in the GitHub repository Frontal-so/outbound-skills (5 stars, last pushed 1mo ago), licensed MIT. It adds 92 tokens to every session and 1,097 once invoked, about $0.0005 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 2026-08-31.

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