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 manojbajaj95/claude-gtm-plugin --skill networking-outreachgit clone --depth 1 https://github.com/manojbajaj95/claude-gtm-pluginWrote 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/manojbajaj95/claude-gtm-plugin/networking-outreach)<a href="https://agentmods.dev/skills/manojbajaj95/claude-gtm-plugin/networking-outreach"><img src="https://agentmods.dev/badge/skills/manojbajaj95/claude-gtm-plugin/networking-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/manojbajaj95/claude-gtm-plugin/networking-outreach"><img src="https://agentmods.dev/badge/skills/manojbajaj95/claude-gtm-plugin/networking-outreach.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 | $0.00129 | $0.02458 |
| Opus 5 | $0.00064 | $0.01229 |
| Sonnet 5 | $0.00026 | $0.00492 |
| Haiku 4.5 | $0.00013 | $0.00246 |
Grade A, and why
networking-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.
How it starts
The opening of the file, as written. The whole thing — 261 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Networking Outreach
Workspace Context
Read bootstrap context before asking questions: strategy/brand.md for brand, audience, offer, channels, tools, constraints, and metrics; about/me.md for personal voice; content/ideas.md and content/calendar.md for content planning. Use legacy product-marketing context files only as fallback. Save generated drafts to content/<platform>/drafts/YYYY-MM-DD_short-topic-slug.md, and route durable learnings back to strategy/brand.md, about/me.md, or content/ideas.md.
Operating Contract
This skill is self-contained for its frontmatter scope: use its local instructions, references, scripts, and assets as the playbook; ask only for missing task-specific inputs; hand off to adjacent skills instead of expanding scope; and return an actionable artifact, decision, plan, draft, or diagnostic.
Relationship-first outreach built on research and value. The goal is to start a conversation by giving something, not asking for something.
Quick Start
Mode 1 — Identify targets:
- Tell me your networking purpose (e.g. "break into AI safety", "find hiring managers at fintech startups")
- I'll build a target persona matrix and suggest 5–10 specific people to reach
Mode 2 — Draft outreach for a specific person (cold networking):
- Share their LinkedIn URL (or screenshot if profile is private)
- I'll research them + their company via the web
- We'll pick the best value-add angle together
- I'll draft: email (≤200 words) + LinkedIn connection request (≤300 chars)
Mode 3 — Hiring manager follow-up:
- Share their LinkedIn URL + the role you applied for
- Tell me any referral context and your core proof points
- I'll draft a personal follow-up email that leads with a specific reference to their work, states your value clearly, and ends with a soft CTA
Mode 1: Identify Targets
Intake Questions
Before generating targets, establish:
| Question | Why It Matters |
|---|---|
| What's your goal? | Job, partnership, learning, visibility |
| What's your current context? | Title, company, background |
| What industry/function? | Narrows the search |
| Do you have any warm connections? | Starting point for introductions |
| What's your timeline? | Urgency affects strategy |
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 · 261 lines · 0 tokens per session scan A d641d5d4d130
networking-outreach is a skill published in the GitHub repository manojbajaj95/claude-gtm-plugin (98 stars, last pushed 3mo ago), licensed MIT. It adds 129 tokens to every session and 2,458 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 2026-08-30.
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