cold-outreach

cold-outreach is a skill for Codex from Infinite-Labs-AI/infinite-skills. It costs 36 tokens per session (468 once invoked), scanned A, original, MIT.

A guide for writing business-to-business outreach, such as cold email, LinkedIn messages, prospecting, and sales sequences.

In plain words
What is it for?
Use it to research accounts, find timely reasons to contact prospects, assess fit and claim risk, and write messages or multi-step outreach sequences.
Why use it?
It helps make outreach relevant to a specific person and situation while avoiding claims that cannot be verified. It also reduces the effort required for the recipient to reply.

Skill for Codex

Written for Codex: agents/openai.yaml present.

Good fit Use it to research accounts, find timely reasons to contact prospects, assess fit and claim risk, and write messages or multi-step outreach sequences.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/infinite-labs-ai/infinite-skills/cold-outreach
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 Infinite-Labs-AI/infinite-skills --skill cold-outreach
Clone the repo
git clone --depth 1 https://github.com/Infinite-Labs-AI/infinite-skills

Made for: 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 cold-outreach

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/infinite-labs-ai/infinite-skills/cold-outreach"><img src="https://agentmods.dev/badge/skills/infinite-labs-ai/infinite-skills/cold-outreach.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 36 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 468 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 pass 7 Sept 2026
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 $0.00036 $0.00468
Opus 5 $0.00018 $0.00234
Sonnet 5 $0.00007 $0.00094
Haiku 4.5 $0.00004 $0.00047

Measured 12d ago against content hash ce9e6b0e9974, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

cold-outreach 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 12d 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.

skills/cold-outreach/SKILL.md · 83 lines

What it actually says

Cold Outreach

Build outbound around a verifiable reason to contact a specific person now, with claim risk and reply friction made explicit.

Research The Reason

For each segment or account, find:

  • Business event or pressure.
  • Role-level responsibility.
  • Current tool, workflow, or public initiative.
  • Likely pain or missed opportunity.
  • Mutual context or credible source.
  • Offer or next step that fits the moment.

If no account-specific signal is available, use segment-level relevance and keep the claim modest.

Check Relevance

Score each prospect or segment:

  • Reason-to-reach: how specific and timely the reason is.
  • Timing evidence: public event, hiring, tool change, funding, launch, regulation, role change, review, complaint.
  • Source confidence: first-party, third-party, inferred, stale, unknown.
  • Claim risk: how likely the message overstates what is known.
  • Reply friction: how hard it is for the recipient to answer or take the next step.
  • Fit: whether the problem, role, and offer plausibly match.

Do not write personalized claims that cannot be verified from the research.

Write The Sequence

Use a clear arc:

  • Message 1: specific reason, problem, credible offer.
  • Follow-up 1: useful proof or example.
  • Follow-up 2: different angle or objection.
  • Breakup: polite close or permission to stop.

Keep each message short. One idea, one ask. Avoid fake familiarity, exaggerated flattery, and generic "quick question" openings.

Output

Outbound angle:
Target:
Trigger:
Problem:
Offer:
Proof:

Qualification filters:
- Include:
- Exclude:

Relevance score:
| Prospect/segment | Reason-to-reach | Timing evidence | Source confidence | Claim risk | Reply friction |

Sequence:
Email 1
Subject:
Body:

Follow-up 1
Subject:
Body:

Follow-up 2
Subject:
Body:

Personalization fields:
| Field | Source | Example |

Risk checks:
- [claim to verify]
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. 12d ago First seen · 83 lines · 36 tokens per session scan A ce9e6b0e9974

Subscribe to this mod's changes

cold-outreach is a skill published in the GitHub repository Infinite-Labs-AI/infinite-skills (44 stars, last pushed 13d ago), licensed MIT. It adds 36 tokens to every session and 468 once invoked, about $0.0002 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 2026-08-30.