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 swan-gtm/gtm-skills --skill outreach-4-categoriesgit clone --depth 1 https://github.com/swan-gtm/gtm-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/swan-gtm/gtm-skills/outreach-4-categories)<a href="https://agentmods.dev/skills/swan-gtm/gtm-skills/outreach-4-categories"><img src="https://agentmods.dev/badge/skills/swan-gtm/gtm-skills/outreach-4-categories/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/swan-gtm/gtm-skills/outreach-4-categories"><img src="https://agentmods.dev/badge/skills/swan-gtm/gtm-skills/outreach-4-categories.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 | $0.00058 | $0.00640 |
| Opus 5.5 | $0.00023 | $0.00256 |
| Sonnet 5.5 | $0.00012 | $0.00128 |
| Haiku 4.5 | $0.00006 | $0.00064 |
Grade A, and why
outreach-4-categories 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 1mo 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- outreach-4-categories — 88% identical, 4 lines differ
How it starts
The opening of the file, as written. The whole thing — 103 lines — stays where its author put it; the contents beside it link to each section on GitHub.
The 4 Categories of Outreach
INBOUND (1:Many Messaging Only)
Definition:
- Prospect knows your company
- Hand-raisers taking marketing action asking to evaluate your product
Trigger: Demo requests, chat box inquiries
Messaging approach: 1:Many only (they came to you)
POSTBOUND (1:Many + 1:1 Messaging)
Definition:
- Prospect knows your company
- Marketing leads that are NOT hand-raisers
Trigger: Content engagement without explicit buying intent
Messaging approach: Mix of templated + personalized
BRIDGEBOUND (1:Many + 1:1 Messaging)
Definition:
- Prospect sometimes knows your company
- Segmented outbound based on premises that raise meeting/buying likelihood
Trigger: Prospect or company action NOT related to your marketing
Messaging approach: Signal-based personalization
5 Sub-Categories:
- Based on Relationship (39 triggers)
- Based on History (16 triggers)
- Based on Likely "In Market" (20 triggers)
- Based on Symptoms & Signs (11 triggers)
- Based on Firmographic (15 triggers)
OUTBOUND (1:1 Messaging Only)
Definition:
- Prospect doesn't know your company
- Coming in cold
Trigger: Prospect selected by prospecting team
Messaging approach: Fully personalized (1:1 only)
Messaging Matrix
| Category | Prospect Awareness | Messaging Type | Personalization Level |
|---|---|---|---|
| Inbound | High | 1:Many | Low |
| Postbound | Medium | 1:Many + 1:1 | Medium |
| Bridgebound | Low-Medium | 1:Many + 1:1 | Medium-High |
| Outbound | None | 1:1 Only | High |
Combines with
| Skill | Why |
|---|---|
personalization-playbooks |
Get messaging for each category |
bridgebound-relationship-39 |
Deep-dive on Bridgebound triggers |
inbound-triggers-30 |
Understand Inbound premises |
outbound-triggers-6 |
Master pure Outbound approach |
Example prompts
This lead downloaded our ebook - is it Inbound or Postbound?
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.
- 1mo ago First seen · 103 lines · 58 tokens per session scan A d7ba44128c27
outreach-4-categories is a skill published in the GitHub repository swan-gtm/gtm-skills (220 stars, last pushed 7d ago), licensed MIT. It adds 58 tokens to every session and 640 once invoked, about $0.0002 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 2026-08-30.
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