cold-email-deliverability

Reviews a cold email draft and its sending setup for deliverability - SPF/DKIM/DMARC alignment.

What this skill does for you

Reviews a cold email draft and its sending setup for deliverability - SPF/DKIM/DMARC alignment, sender reputation and complaint risk, body mechanics (length, links, images, tracking pixels, HTML vs plain text, opt-out), and legal compliance by region. Covers B2B cold outbound and B2C bulk/lifecycle mail. Use whenever the user mentions the spam folder, blacklisting, domain warmup, inbox placement, bounce rates, DMARC, or "why are my emails not landing", even without the word deliverability. Do NOT use for subject lines (mbfinotti/sales-skills@cold-email-subject-line-tester) or cadence (mbfinotti/sales-skills@sales-outbound-sequence). Hygiene and compliance only, never spam-filter evasion.

Quoted from the skill description in the pinned source

Who made it

Publishermbfinotti

Repositorysales-skills

Installs1,000as of Sep 27, 2026

Use it with Edge

Set up Edge for me: read getedge.cc/SKILL.md and follow it. Then use Edge to load the cold-email-deliverability skill from mbfinotti/sales-skills.

Paste it into Claude, ChatGPT, Codex or Cursor.

Or read the skill source first.

Security evidence

Security state at 2026-09-30: reviewed. State definitions. This records static evidence for this revision; live load eligibility is checked again.

3 static scans, 0 counted findings. The listed scanners recorded the results shown for this package revision.

Scanner	Date	Result
Edge static checks	2026-09-27	Pass
Cisco skill-scanner	2026-09-27	Pass
Semgrep Edge rules	2026-09-27	Pass

Static scans check the code, not how well the skill works.

Scanner scope, raw findings and mirrored provider records

Edge static checks (Edge-run): edge-static/1.0.1. Scope: Static patterns for remote execution, credentials with network sends, obfuscation, prompt overrides, hidden Unicode, binaries and persistence. Revision: 1ef68881b2ed853fb1f02272b57dc71dd375677f. Raw findings: . Counted findings: .

Cisco skill-scanner (Edge-run): cisco-skill-scanner/2.1.0. Scope: Local static, YARA, pipeline and behavioral analyzers; no LLM or AI Defense analysis. Revision: 1ef68881b2ed853fb1f02272b57dc71dd375677f. Raw findings: . Counted findings: .

Semgrep Edge rules (Edge-run): semgrep/1.178.0+edge-rules.c15016a36fd3+offline-v1. Scope: Six Edge-authored static rules with Semgrep CE; offline execution and metrics disabled. Semgrep-maintained rules excluded. Revision: 1ef68881b2ed853fb1f02272b57dc71dd375677f. Raw findings: . Counted findings: .

Source and licence

Repository: https://github.com/mbfinotti/sales-skills
Pinned skill file: View source at revision
Revision: 1ef68881b2ed853fb1f02272b57dc71dd375677f
Package hash: sha256:e5f76f426fb111172feb76297cf3d97e512b45c319fce2d9ef5f23a41850fcdf
Licence: MIT