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list-quality-scorecard

list-quality-scorecard is a skill for Claude Code, Codex from growthenginenowoslawski/coldoutboundskills. It costs 69 tokens per session (1,800 once invoked), scanned A, original, MIT.

A pre-send review of a lead list, where a lead is a potential customer or contact. It scores list quality across areas such as duplicates, job titles, email verification, target-customer fit, and company details, then returns a letter grade and fixes to make.

In plain words
What is it for?
Use it on a CSV of leads after finding or enriching contacts and before sending cold email, with an optional description of the target customer for fit scoring.
Why use it?
It finds bad targeting, risky email addresses, repeated records, and other problems before a campaign is sent. This reduces wasted outreach and avoidable bounced emails.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

not rated 802repo +7 changed 1mo ago A scan SkillSpector: warn 69 tokens original MIT

Good fit Use it on a CSV of leads after finding or enriching contacts and before sending cold email, with an optional description of the target customer for fit scoring.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/growthenginenowoslawski/coldoutboundskills/list-quality-scorecard
View source ↗ growthenginenowoslawski/coldoutboundskills
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 growthenginenowoslawski/coldoutboundskills --skill list-quality-scorecard
Clone the repo
git clone --depth 1 https://github.com/growthenginenowoslawski/coldoutboundskills

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.

agentmods badge for list-quality-scorecard

README.md
[![agentmods](https://agentmods.dev/badge/skills/growthenginenowoslawski/coldoutboundskills/list-quality-scorecard/github.svg)](https://agentmods.dev/skills/growthenginenowoslawski/coldoutboundskills/list-quality-scorecard)
Your own site
<a href="https://agentmods.dev/skills/growthenginenowoslawski/coldoutboundskills/list-quality-scorecard"><img src="https://agentmods.dev/badge/skills/growthenginenowoslawski/coldoutboundskills/list-quality-scorecard/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 list-quality-scorecard

Your own site · 80×15
<a href="https://agentmods.dev/skills/growthenginenowoslawski/coldoutboundskills/list-quality-scorecard"><img src="https://agentmods.dev/badge/skills/growthenginenowoslawski/coldoutboundskills/list-quality-scorecard.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 69 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,800 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. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 1 finding, up to medium

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • medium MCP Rug Pull · line 42
    npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.
    Fix: Pin the version: npx @scope/[email protected]
How audits are shown
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 $0.00069 $0.01800
Opus 5.5 $0.00028 $0.00720
Sonnet 5.5 $0.00014 $0.00360
Haiku 4.5 $0.00007 $0.00180

Measured 1mo ago against content hash cf5718d38af6, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

list-quality-scorecard 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.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/score-list.ts), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

Origin

Copies of this mod

1 near-identical copy found in the catalogue:

skills/list-quality-scorecard/SKILL.md · 176 lines

How it starts

The opening of the file, as written. The whole thing — 176 lines — stays where its author put it; the contents beside it link to each section on GitHub.

List Quality Scorecard

A CSV of 5,000 leads is not the same as a good list of 5,000 leads. This skill grades your list across 8 dimensions BEFORE you send, catching preventable waste.

Why this exists

The three campaign failure modes cold email runners hit most:

  1. Bad list — the copy doesn't matter when you're emailing the wrong people
  2. Unverified emails — bounces burn domain reputation
  3. ICP drift — you think you're targeting VPs, but the list is mostly Managers

Each of these is catchable before you send, in 5 minutes, for free.

Inputs

A CSV with at minimum these columns:

  • email — the primary email
  • first_name, last_name
  • job_title OR title
  • company_name OR company
  • company_domain (optional, derived from email if missing)
  • company_industry (optional, used for ICP fit scoring)
  • company_headcount (optional, used for ICP fit scoring)

Output

A markdown scorecard with:

  • Letter grade (A+ to F)
  • 8 dimension scores (each 0-100)
  • Top 5 issues to fix
  • Pre-send checklist

Usage

npx tsx scripts/score-list.ts --list=leads.csv --icp-file=client-profile.yaml --out=scorecard.md

Optional --icp-file lets the scorecard compare your list against your declared ICP filters (from /icp-onboarding).

The 8 dimensions

1. Email verification coverage (critical)

  • What: % of emails validated via MillionVerifier or equivalent
  • Rule: 100% of a cold list must be verified before sending. Unverified emails = bounces = dead domains.
  • Score: 100 if all verified, 0 if <50% verified

2. Duplicate email rate

  • What: % of duplicate emails in the list
  • Rule: <1% acceptable, >5% is a problem
  • Score: 100 at 0%, drops linearly

3. Duplicate domain rate

  • What: max # of leads from any single domain
  • Rule: 1-2 leads per domain ideal. 5+ suggests you're over-indexing on one company.
  • Score: 100 if avg <2 per domain, 60 if avg 2-5, 30 if >5

4. Title relevance

Read the full file on GitHub · 176 lines

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.

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. 1mo ago Changed cf5718d38af6
  2. 2mo ago First seen · 176 lines · 69 tokens per session scan A 18991a0ee10b

Subscribe to this mod's changes

list-quality-scorecard is a skill published in the GitHub repository growthenginenowoslawski/coldoutboundskills (802 stars, last pushed 1mo ago), licensed MIT. It adds 69 tokens to every session and 1,800 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 2026-08-30.

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Related

list-quality-scorecard compared with skills from other repositories

list-quality-scorecard next to 6 skills from other repositories
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