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 gtmagents/gtm-agents --skill storytellinggit clone --depth 1 https://github.com/gtmagents/gtm-agentsWrote 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/gtmagents/gtm-agents/storytelling)<a href="https://agentmods.dev/skills/gtmagents/gtm-agents/storytelling"><img src="https://agentmods.dev/badge/skills/gtmagents/gtm-agents/storytelling/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/gtmagents/gtm-agents/storytelling"><img src="https://agentmods.dev/badge/skills/gtmagents/gtm-agents/storytelling.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 | $0.00022 | $0.00311 |
| Opus 5 | $0.00011 | $0.00156 |
| Sonnet 5 | $0.00004 | $0.00062 |
| Haiku 4.5 | $0.00002 | $0.00031 |
Grade A, and why
storytelling 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 9d 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.
What it actually says
Storytelling Skill
When to Use
- Need cohesive narrative for campaigns, product launches, or decks.
- Translating technical capabilities into relatable customer stories.
- Coaching spokespeople or SDRs on better pitch storytelling.
Framework
- Audience & Conflict – identify who the hero is (customer persona) and what obstacle they face.
- Story Arc (SCAR) – Situation → Complication → Action → Resolution.
- Characterization – give personas motives, stakes, and quotes.
- Sensory Detail – use vivid language, specific metrics, and concrete examples.
- Moral/CTA – tie resolution back to product value and explicit next step.
Templates
- Narrative outline (hook, scene, rising tension, turn, resolution, CTA).
- Pitch script template:
"Most {persona}s today face {pain}. When {trigger}, {impact}. We worked with {customer} to {action}, leading to {result}."
- Story inventory tracker to log customer, industry, proof points.
Tips
- Record customer interviews to capture natural phrasing for quotes.
- Swap metaphors/analogies per persona so stories feel tailored.
- Reinforce numbers with vivid imagery (e.g., "saved hours = extra sprints delivered").
- Align every story with the current positioning doc to avoid mixed messages.
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.
- 9d ago First seen · 35 lines · 22 tokens per session scan A 4842eaf7f35a
storytelling is a skill published in the GitHub repository gtmagents/gtm-agents (399 stars, last pushed 5mo ago), licensed Apache-2.0. It adds 22 tokens to every session and 311 once invoked, about $0.0001 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 2026-09-03.
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