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 Frontal-so/outbound-skills --skill gtm-plays-11git clone --depth 1 https://github.com/Frontal-so/outbound-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/frontal-so/outbound-skills/gtm-plays-11)<a href="https://agentmods.dev/skills/frontal-so/outbound-skills/gtm-plays-11"><img src="https://agentmods.dev/badge/skills/frontal-so/outbound-skills/gtm-plays-11/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/frontal-so/outbound-skills/gtm-plays-11"><img src="https://agentmods.dev/badge/skills/frontal-so/outbound-skills/gtm-plays-11.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 | $0.00078 | $0.00796 |
| Opus 5 | $0.00039 | $0.00398 |
| Sonnet 5 | $0.00016 | $0.00159 |
| Haiku 4.5 | $0.00008 | $0.00080 |
Grade A, and why
gtm-plays-11 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.
This is a copy
89% identical to gtm-plays-11 — 8 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 92 lines — stays where its author put it; the contents beside it link to each section on GitHub.
11 GTM Plays
Quick reference for signal-based outbound plays. For templates, see references/templates.md.
| Play | Signal | Best Timing |
|---|---|---|
| 1. New Team Members | Company added team members | 2-4 weeks after hire |
| 2. Skills-Targeting | LinkedIn skills match product | Ongoing |
| 3. Role-Targeting | Uncommon job title exists | Ongoing |
| 4. Industry Research | Create signal via surveys | Value-first |
| 5. Resources for ICs | New SDRs starting roles | Evergreen |
| 6. Leaving Employees | Team member departed | 1-2 weeks after |
| 7. No Dedicated Role | Missing key title | Ongoing |
| 8. Bad Reviews | Negative G2/Capterra review | Within days |
| 9. AI-Generated Ideas | Personalized value via AI | Ongoing |
| 10. ServiceBell Allbound | Website visitor activity | Real-time |
| 11. Inbound Followers | New LinkedIn follower | 24-48 hours |
Play Details
1. New Team Members
Reference new hire by name. Shows attention to their growth.
2. Skills-Targeting
Target LinkedIn skills (not just titles). Clay extracts skills from profiles.
- Salesforce skill → Salesforce add-ons
- Python skill → Developer tools
3. Role-Targeting
Uncommon titles signal budget/priority.
- "RevOps Manager" → RevOps is priority
- "Growth Engineer" → Technical growth exists
4. Industry-Level Research
Survey ICP experts → opens value-first conversations.
5. Resources for ICs (Evergreen)
Automated campaign sending resources to new ICs. Long-term brand building.
6. Leaving Employees
Position around coverage gap after departure.
7. No Dedicated Role
No "Content Manager" + $5M+ revenue = content gap opportunity.
8. Bad Reviews Targeting
Scrape negative reviews, reference their pain, offer alternatives.
9. AI-Generated Ideas
Generate 2 relevant ideas + your offer as #3 (with humor).
10. ServiceBell Allbound
Visitor hits pricing → SDR calls in 2 min → email if no answer → LinkedIn next day.
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 · 92 lines · 78 tokens per session scan A 3fa1d762ad73
gtm-plays-11 is a skill published in the GitHub repository Frontal-so/outbound-skills (5 stars, last pushed 1mo ago), licensed MIT. It adds 78 tokens to every session and 796 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. It is 89% identical to gtm-plays-11, differing in 8 lines, and is treated as a copy.
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