How do I install the Cold Email Spam Lint skill?

Run npx skillmds@latest add cmj-hub/cold-email-spam-lint in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Cold Email Spam Lint safe to use?

This skill has not completed SkillMD's automated safety review yet. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Cold Email Spam Lint?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Cold Email Spam Lint free to use?

Yes. Installing skills from SkillMD is free. This skill is licensed under MIT.

Who published Cold Email Spam Lint?

cmj-hub (@cmj-hub) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Cold Email Spam Lint by cmj-hub — Agent Skill

Name: Cold Email Spam Lint
Author: cmj-hub

Cold Email Spam Lint

Deterministic spam-trigger scanner for cold email drafts. Scans subject + body against a 200-word spam-trigger lexicon, validates link/image ratios, checks for ALL-CAPS / emoji / clickbait / fake-Re patterns, and returns a 0-100 deliverability-risk score with line-by-line flags. Backed by a Python script (no LLM). Loaded by the main cold-email skill before any send + on Wednesday's ship-day batch via cold-email-weekly-rhythm.

cmj-hub Updated Sep 17, 2026

File contents

Cold Email Spam Lint — deterministic spam-trigger scanner

A real scanner, not vibes. Backs onto scripts/spam_word_lint.py for deterministic scoring against a maintained 200-word spam-trigger lexicon.

Activation

Loaded by:

cold-email-craft — final self-check before delivering a draft
cold-email-weekly-rhythm — Wednesday ship-day batch lint
User invocation: "spam-lint this email"

How it scores

Each draft gets a 0-100 deliverability-risk score across 6 axes:

Axis	Weight	What it catches
Spam-trigger words	25	"URGENT", "ACT NOW", "Limited time", "free money", "guaranteed" — 200+ patterns
ALL CAPS	15	Subject or body lines in caps
Emoji	10	Emoji in subject (high B2B spam signal)
Clickbait patterns	15	"You won't believe...", "This one trick...", "Doctors hate..."
Fake threading	10	"Re:" / "Fwd:" in subject when there's no prior thread
Link / image ratio	25	>1 link or image-to-text >40% — B2B threshold

Output:

# Spam Lint — <subject>

## Deliverability risk score: <0-100>/100

| Axis | Score | Issues |
|---|---|---|
| Spam-trigger words | <0-25>/25 | Found: <words> |
| ALL CAPS | <0-15>/15 | Caps in: <lines> |
| Emoji | <0-10>/10 | Subject has 🚀 |
| Clickbait | <0-15>/15 | "You won't believe..." in line 2 |
| Fake threading | <0-10>/10 | Subject starts with "Re:" |
| Link/image ratio | <0-25>/25 | 3 links found |

## Line-by-line flags

[Line 1 — Subject] "Re: URGENT — pipeline update 🚀"
  - Fake threading: subject begins with "Re:"
  - Spam-trigger: "URGENT"
  - ALL CAPS in subject
  - Emoji in subject

[Line 5 — Body] "You won't believe what we shipped this quarter."
  - Clickbait pattern: "You won't believe"

## Verdict
| Score | Verdict |
|---|---|
| 90-100 | Ship |
| 75-89 | Ship after fixes — flagged items have alternatives below |
| 60-74 | Rewrite — too many deliverability flags |
| <60 | Do not send — will land in spam |

Implementation

The skill shells out to a Python script:

python3 scripts/spam_word_lint.py --subject "<subject>" --body "<body>" --format json

The script returns structured JSON. The skill formats it into the table above.

Script location

../../scripts/spam_word_lint.py

The script is zero-dependency Python 3.8+. No external libraries, no network calls.

Lexicon source

The 200-word lexicon lives at references/spam-trigger-lexicon.md (loaded as a JSON-shaped const at the top of the Python script). Sources:

Google Postmaster Tools 2024 bulk-sender guidance
Yahoo + Microsoft 2024 bulk-sender rules
Litmus / Email on Acid public spam-trigger lists
JMC's own list from reviewing 1000+ campaigns

The lexicon is versioned. When Gmail/Yahoo update guidance, the lexicon updates and the script picks it up on next install.

Why this matters

Vibes-based spam-checking misses 60% of issues. A deterministic lint catches every instance of the 200 known triggers, every time. The script runs in <100ms per email — Wednesday's batch ship-day check runs through 100 emails in under 10 seconds.

References

../../scripts/spam_word_lint.py — the actual scanner
references/spam-trigger-lexicon.md — the lexicon source
../../cold-email/references/banned-patterns.md — JMC-specific bans (separate from generic spam triggers — these are voice + framework bans, not deliverability bans)

---name: cold-email-spam-lintdescription: Deterministic spam-trigger scanner for cold email drafts. Scans subject + body against a 200-word spam-trigger lexicon, validates link/image ratios, checks for ALL-CAPS / emoji / clickbait / fake-Re patterns, and returns a 0-100 deliverability-risk score with line-by-line flags. Backed by a Python script (no LLM). Loaded by the main cold-email skill before any send + on Wednesday's ship-day batch via cold-email-weekly-rhythm.license: MIT---# Cold Email Spam Lint — deterministic spam-trigger scannerA real scanner, not vibes. Backs onto `scripts/spam_word_lint.py` fordeterministic scoring against a maintained 200-word spam-triggerlexicon.## ActivationLoaded by:- `cold-email-craft` — final self-check before delivering a draft- `cold-email-weekly-rhythm` — Wednesday ship-day batch lint- User invocation: "spam-lint this email"## How it scoresEach draft gets a 0-100 deliverability-risk score across 6 axes:| Axis | Weight | What it catches ||---|---|---|| Spam-trigger words | 25 | "URGENT", "ACT NOW", "Limited time", "free money", "guaranteed" — 200+ patterns || ALL CAPS | 15 | Subject or body lines in caps || Emoji | 10 | Emoji in subject (high B2B spam signal) || Clickbait patterns | 15 | "You won't believe...", "This one trick...", "Doctors hate..." || Fake threading | 10 | "Re:" / "Fwd:" in subject when there's no prior thread || Link / image ratio | 25 | >1 link or image-to-text >40% — B2B threshold |Output:```markdown# Spam Lint — <subject>## Deliverability risk score: <0-100>/100| Axis | Score | Issues ||---|---|---|| Spam-trigger words | <0-25>/25 | Found: <words> || ALL CAPS | <0-15>/15 | Caps in: <lines> || Emoji | <0-10>/10 | Subject has 🚀 || Clickbait | <0-15>/15 | "You won't believe..." in line 2 || Fake threading | <0-10>/10 | Subject starts with "Re:" || Link/image ratio | <0-25>/25 | 3 links found |## Line-by-line flags[Line 1 — Subject] "Re: URGENT — pipeline update 🚀" - Fake threading: subject begins with "Re:" - Spam-trigger: "URGENT" - ALL CAPS in subject - Emoji in subject[Line 5 — Body] "You won't believe what we shipped this quarter." - Clickbait pattern: "You won't believe"## Verdict| Score | Verdict ||---|---|| 90-100 | Ship || 75-89 | Ship after fixes — flagged items have alternatives below || 60-74 | Rewrite — too many deliverability flags || <60 | Do not send — will land in spam |```## ImplementationThe skill shells out to a Python script:```bashpython3 scripts/spam_word_lint.py --subject "<subject>" --body "<body>" --format json```The script returns structured JSON. The skill formats it into thetable above.## Script location`../../scripts/spam_word_lint.py`The script is zero-dependency Python 3.8+. No external libraries, nonetwork calls.## Lexicon sourceThe 200-word lexicon lives at `references/spam-trigger-lexicon.md`(loaded as a JSON-shaped const at the top of the Python script).Sources:- Google Postmaster Tools 2024 bulk-sender guidance- Yahoo + Microsoft 2024 bulk-sender rules- Litmus / Email on Acid public spam-trigger lists- JMC's own list from reviewing 1000+ campaignsThe lexicon is versioned. When Gmail/Yahoo update guidance, thelexicon updates and the script picks it up on next install.## Why this mattersVibes-based spam-checking misses 60% of issues. A deterministic lintcatches every instance of the 200 known triggers, every time. Thescript runs in <100ms per email — Wednesday's batch ship-day checkruns through 100 emails in under 10 seconds.## References- `../../scripts/spam_word_lint.py` — the actual scanner- `references/spam-trigger-lexicon.md` — the lexicon source- `../../cold-email/references/banned-patterns.md` — JMC-specific bans (separate from generic spam triggers — these are voice + framework bans, not deliverability bans)

Frequently asked questions