outreach-execution

outreach-execution is a skill for Claude Code, Codex from swan-gtm/gtm-skills. It costs 130 tokens per session (3,509 once invoked), scanned A, original, MIT.

A workflow for turning a marketing signal, target account, or named contact into a reviewed outreach sequence. It uses approved sender details and messages to draft several coordinated follow-ups.

In plain words
What is it for?
It helps assign senders, choose an outreach path, and draft multi-step email or LinkedIn sequences based on a real reason for contacting an account.
Why use it?
It reduces guesswork about who should contact a prospect, which message to use, and when different people at the same company should be approached. Human approval remains part of the process.

Skill for Claude CodeCodex

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

Good fit It helps assign senders, choose an outreach path, and draft multi-step email or LinkedIn sequences based on a real reason for contacting an account.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/swan-gtm/gtm-skills/outreach-execution
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 swan-gtm/gtm-skills --skill outreach-execution
Clone the repo
git clone --depth 1 https://github.com/swan-gtm/gtm-skills

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 outreach-execution

README.md
[![agentmods](https://agentmods.dev/badge/skills/swan-gtm/gtm-skills/outreach-execution/github.svg)](https://agentmods.dev/skills/swan-gtm/gtm-skills/outreach-execution)
Your own site
<a href="https://agentmods.dev/skills/swan-gtm/gtm-skills/outreach-execution"><img src="https://agentmods.dev/badge/skills/swan-gtm/gtm-skills/outreach-execution/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 outreach-execution

Your own site · 80×15
<a href="https://agentmods.dev/skills/swan-gtm/gtm-skills/outreach-execution"><img src="https://agentmods.dev/badge/skills/swan-gtm/gtm-skills/outreach-execution.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 130 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,509 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: 5 findings, 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 Excessive Agency · line 20
    Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.
    Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
  • medium Excessive Agency · line 23
    Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.
    Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
  • medium Excessive Agency · line 114
    Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.
    Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
  • medium Excessive Agency · line 214
    Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.
    Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
  • medium Excessive Agency · line 97
    Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.
    Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
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 $0.00130 $0.03509
Opus 5 $0.00065 $0.01754
Sonnet 5 $0.00026 $0.00702
Haiku 4.5 $0.00013 $0.00351

Measured 9d ago against content hash f8380005ee9d, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

outreach-execution 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.

Origin

Copies of this mod

1 near-identical copy found in the catalogue:

skills/jeremy-hurst/outreach-execution/SKILL.md · 229 lines

How it starts

The opening of the file, as written. The whole thing — 229 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Template placeholders

Replace every {{...}} before enabling. See the setup checklist reference for the full setup list.

  • {{CRM}} — Your CRM (e.g. HubSpot, Attio, Salesforce)
  • {{SENDER_ROSTER}} — The people who can send outreach, with which channels each has connected (email, LinkedIn)
  • {{AWARENESS_SENDER}} — Senior exec (usually a founder or CxO) who runs the no-pitch awareness touch to decision makers
  • {{HIGH_TIER_SENDER}} — Primary sequence sender for your top account tiers (usually your most senior GTM seller)
  • {{LOW_TIER_SENDER}} — Primary sequence sender for your lower account tiers
  • {{TIER_MODEL}} — Your account tiering scheme and which tiers count as "high" vs "low" (e.g. Gold/Diamond = high, Silver/Bronze = low)
  • {{APPROVAL_OWNER}} — The human who reviews and approves staged sequences before anything sends
  • {{MULTITHREAD_THRESHOLD}} — Company size above which an executive multi-thread must run in parallel with the primary sequence (default: >200 employees)
  • {{LARGE_COMPANY_THRESHOLD}} — Company size above which executives are never auto-contacted without approval (default: 100+ employees)
  • {{VOICE_SOURCE}} — Where sender voice lives: saved voice guides, past approved messages, or both
  • {{RESOURCE_LIBRARY}} — Single source of truth for shareable URLs: booking links, demo video, trust/security docs, one-pagers
  • {{AUTO_APPROVE_CARVEOUT}} — The one narrow scenario (if any) where a sequence may send without human approval (default: none — everything is approved)

What this skill produces

A staged outreach sequence — queued for approval, never sent — for the right contact(s), with sender, sequence steps, and a written outreach rationale attached. {{APPROVAL_OWNER}} reviews, edits if needed, and approves before anything goes out.

When the user asks about outreach strategically ("how should our cold emails sound," "what is the right cadence shape"), the output is a point of view anchored in {{VOICE_SOURCE}} and past approved messages — not a sequence.

Read the full file on GitHub · 229 lines

Files

What ships with it

3 files 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. 9d ago First seen · 229 lines · 130 tokens per session scan A f8380005ee9d

Subscribe to this mod's changes

outreach-execution is a skill published in the GitHub repository swan-gtm/gtm-skills (153 stars, last pushed 2d ago), licensed MIT. It adds 130 tokens to every session and 3,509 once invoked, about $0.0006 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 2026-09-03.

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