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 gtm-philosophygit 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/gtm-philosophy)<a href="https://agentmods.dev/skills/swan-gtm/gtm-skills/gtm-philosophy"><img src="https://agentmods.dev/badge/skills/swan-gtm/gtm-skills/gtm-philosophy/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/gtm-philosophy"><img src="https://agentmods.dev/badge/skills/swan-gtm/gtm-skills/gtm-philosophy.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 | $0.00071 | $0.00696 |
| Opus 5 | $0.00036 | $0.00348 |
| Sonnet 5 | $0.00014 | $0.00139 |
| Haiku 4.5 | $0.00007 | $0.00070 |
Grade A, and why
gtm-philosophy 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 13d 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:
- gtm-philosophy — 86% identical, 8 lines differ
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.
Core GTM Philosophy
Fundamental Principles
-
Scale what top performers do - Study best reps, systematize their approach
-
Diagnose before prescribing - BIPSY framework: Behaviors, Individual, Process, Skill, You
-
Signal-based outreach = 3-4x higher contract values
-
You can't burn your TAM - Re-engage with new angles
-
Lead with pain, not features - HockeyStack approach: "Do you have problems tying brand awareness to revenue?"
-
Segment and convert, don't over-personalize - Gorgias went from 200 sequences to 10 modular ones
Multi-Channel Coordination
The Data:
- Email + ads + referrals = extra $2M ARR (case study)
- ABM approach = 36% meeting rate vs 10% non-ABM
- Warm before you touch principle
Coordination Strategy:
| Channel | Role | Timing |
|---|---|---|
| Ads | Warm up, build awareness | Before outreach |
| Primary outreach | Day 1 | |
| Secondary touch | Day 2-3 | |
| Phone | High-intent follow-up | After engagement |
| Referrals | Leverage network | Throughout |
Key Mindsets
On Personalization
- Personalize to the person, not just the company
- Use specific numbers, not vague claims
- Research should inform approach, not just first line
On Volume vs Quality
- Quality signals beat high volume
- 100 signal-based emails > 1000 cold emails
- Stack signals for heat scoring (3+ signals = reach out same day)
On Timing
- New role signals peak at days 14-45
- Website visitors: act within 24-48 hours
- Funding announcements: wait 2-4 weeks
On Messaging
- Lead with pain, not features
- Soft CTAs outperform hard asks
- Humor reduces tension and increases response
Combines with
| Skill | Why |
|---|---|
buying-signals-6 |
Implement signal-based philosophy |
outreach-4-categories |
Categorize leads properly |
sdr-outbound-rules |
Apply philosophy to daily execution |
josh-braun-copywriting |
Write messages that lead with pain |
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.
- 13d ago First seen · 100 lines · 71 tokens per session scan A 1e958594a24f
gtm-philosophy is a skill published in the GitHub repository swan-gtm/gtm-skills (150 stars, last pushed 2d ago), licensed MIT. It adds 71 tokens to every session and 696 once invoked, about $0.0004 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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