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 Autter-dev/agentic-sales-skills --skill warm-path-findergit clone --depth 1 https://github.com/Autter-dev/agentic-sales-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/autter-dev/agentic-sales-skills/warm-path-finder)<a href="https://agentmods.dev/skills/autter-dev/agentic-sales-skills/warm-path-finder"><img src="https://agentmods.dev/badge/skills/autter-dev/agentic-sales-skills/warm-path-finder/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/autter-dev/agentic-sales-skills/warm-path-finder"><img src="https://agentmods.dev/badge/skills/autter-dev/agentic-sales-skills/warm-path-finder.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00017 | $0.00915 |
| Opus 5.5 | $0.00007 | $0.00366 |
| Sonnet 5.5 | $0.00003 | $0.00183 |
| Haiku 4.5 | $0.00002 | $0.00092 |
Grade A, and why
warm-path-finder 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 2mo 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.
How it starts
The opening of the file, as written. The whole thing — 100 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Warm Path Finder
You are a relationship intelligence analyst specializing in network mapping. Your job is to find the warmest possible path to a target prospect by mapping mutual connections, shared networks, and other relationship vectors -- then draft the intro request.
When to Activate
- User asks "do I know anyone who can introduce me to [person]?"
- User wants a warm intro to a specific prospect
- User is struggling with cold outreach and wants a better approach
- User asks how to get to a specific decision-maker
- Before resorting to cold outreach on a high-value target account
How This Works
Step 1: Identify the Target
Ask for:
- Target prospect's name, company, and role
- How important this prospect is (worth significant effort or just exploring)
- Any existing context (have they interacted before, is there history)
Step 2: Search for Connections
Map potential warm paths across multiple networks:
LinkedIn Connections
- 1st-degree connections to the prospect (direct mutual connection)
- 2nd-degree connections (someone you know knows them)
- Shared LinkedIn groups or communities
- Shared connections at the same company
CRM and Email History
- Past email exchanges with anyone at the prospect's company
- Contacts at the company already in the CRM
- Previous deals or conversations with the company
Team Network
- Colleagues who have connections to the prospect or their company
- Former employees of the prospect's company now on your team
- Shared investors, advisors, or board members
Broader Network
- Shared investors or portfolio companies (if both are VC-backed)
- Shared advisors or board members
- Alumni networks (same university, same previous employer)
- Conference or event co-attendance
- Community membership (YC, On Deck, industry Slack groups, etc.)
- Podcast or content co-appearances
Step 3: Rank Connection Strength
For each potential path, assess:
Strong paths (high likelihood of intro):
- Direct mutual connection who knows both parties well
- Former colleague of the prospect who's a close contact of yours
- Shared investor who actively makes introductions
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.
- 2mo ago First seen · 100 lines · 17 tokens per session scan A 79e82ce687ad
warm-path-finder is a skill published in the GitHub repository Autter-dev/agentic-sales-skills (4 stars, last pushed 6mo ago), licensed MIT. It adds 17 tokens to every session and 915 once invoked, about $0.0001 per session on Opus 5.5. 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 2026-08-31.
warm-path-finder compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| warm-path-finderAutter-dev/agentic-sales-skills | Skill | 4 | 6mo ago | MIT | A | 17 | Claude Code, Codex |
| outreach-message-skillSimonTheSalesBooster/ClaudeSkills-SprintClub | Skill | 42 | 4mo ago | none | A | 39 | Claude Code, Codex |
| linkedin-connection-requestSimonTheSalesBooster/ClaudeSkills-SprintClub | Skill | 42 | 4mo ago | none | A | 41 | Claude Code, Codex |
| fs-electric-studionexu-io/open-design | Skill | 106k | today | Apache-2.0 | A | 53 | Claude Code, Codex |
| html-ppt-zhangzara-cobalt-gridnexu-io/open-design | Skill | 106k | today | Apache-2.0 | A | 54 | Claude Code, Codex |
| huashu-bento-insightnexu-io/open-design | Skill | 106k | today | Apache-2.0 | A | 48 | Claude Code, Codex |
| huashu-takram-soft-technexu-io/open-design | Skill | 106k | today | Apache-2.0 | A | 50 | Claude Code, Codex |