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.
npx skills add Infinite-Labs-AI/infinite-skills --skill cold-outreachgit clone --depth 1 https://github.com/Infinite-Labs-AI/infinite-skillsWrote 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.
[](https://agentmods.dev/skills/infinite-labs-ai/infinite-skills/cold-outreach)<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.
<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>- NVIDIA SkillSpector pass
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.
| Model | Per session | Once 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 |
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.
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]
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.
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.
- 12d ago First seen · 83 lines · 36 tokens per session scan A ce9e6b0e9974
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.
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