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-plays-11git 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-plays-11)<a href="https://agentmods.dev/skills/swan-gtm/gtm-skills/gtm-plays-11"><img src="https://agentmods.dev/badge/skills/swan-gtm/gtm-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/swan-gtm/gtm-skills/gtm-plays-11"><img src="https://agentmods.dev/badge/skills/swan-gtm/gtm-skills/gtm-plays-11.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 | $0.00070 | $0.00802 |
| Opus 5 | $0.00035 | $0.00401 |
| Sonnet 5 | $0.00014 | $0.00160 |
| Haiku 4.5 | $0.00007 | $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.
Copies of this mod
1 near-identical copy found in the catalogue:
- gtm-plays-11 — 89% identical, 8 lines differ
How it starts
The opening of the file, as written. The whole thing — 98 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 · 98 lines · 70 tokens per session scan A 2d4f2eb2aae9
gtm-plays-11 is a skill published in the GitHub repository swan-gtm/gtm-skills (150 stars, last pushed 2d ago), licensed MIT. It adds 70 tokens to every session and 802 once invoked, about $0.0003 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.
Other skills, from other repositories
signals-hooks
Comprehensive reactive state hooks for integration with flutterhooks.
signals-dart
Advanced reactive state primitives, collections, mixins, and utilities of signalscore.
signals-flutter
Highly optimized Flutter UI bindings and GPU rendering for reactive signals.
signals-migration-6-to-7
Detailed guidelines, patterns, and rules for migrating codebases from signals.dart version 6.x to version 7.x.
signals-preact-dart
Core reactive programming best practices and primitive definitions for preactsignals in Dart.
signals-lint
Standardized compiler diagnostics, static analysis lints, and automated IDE quick-fixes.