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 yaxeen/storytelling-skills --skill storytelling-hooksgit clone --depth 1 https://github.com/yaxeen/storytelling-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/yaxeen/storytelling-skills/storytelling-hooks)<a href="https://agentmods.dev/skills/yaxeen/storytelling-skills/storytelling-hooks"><img src="https://agentmods.dev/badge/skills/yaxeen/storytelling-skills/storytelling-hooks/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/yaxeen/storytelling-skills/storytelling-hooks"><img src="https://agentmods.dev/badge/skills/yaxeen/storytelling-skills/storytelling-hooks.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 | $0.00067 | $0.02532 |
| Opus 5 | $0.00034 | $0.01266 |
| Sonnet 5 | $0.00013 | $0.00506 |
| Haiku 4.5 | $0.00007 | $0.00253 |
Grade A, and why
storytelling-hooks 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.
How it starts
The opening of the file, as written. The whole thing — 157 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Storytelling Hooks: The Six Psychology Levers
- Short-form content lives or dies in the first 2 seconds.
- A strong hook stacks 2–3 levers in one line; a full script runs them in order.
- A hook has two jobs: stop the scroll AND filter for the right viewer. A hook that grabs everyone attracts the wrong audience — they leave at second 3, retention tanks, and the algorithm buries the video. Qualifying words ("freelancers", "if you run ads") cost a little reach and buy retention plus the right follows.
- This is the core skill of the storytelling suite. Other skills (long-form-youtube, titles-and-thumbnails, carousel-narratives, email-hooks, wireframe-writer, wireframe-reviewer) recap these levers and link back here.
When to Use
- Writing a reel / Short / TikTok script or opening line.
- Any niche or business: education, SaaS, fitness, finance, faith, food, B2B, personal brand.
- The moment must stop the scroll before the brain decides to move on.
- When a draft feels flat and you need to diagnose which lever is missing.
The Six Levers (Quick Reference)
| # | Lever | One-line job |
|---|---|---|
| 1 | Curiosity gap | Open a loop, don't close it |
| 2 | Emotional mirror | Target the feeling, not the fact |
| 3 | Conflict engine | Goal + obstacle = tension |
| 4 | Relatability | Broadest shared feeling → "this is me" |
| 5 | Pattern + surprise | Set expectation, then break it |
| 6 | Three-act structure | Setup → problem → resolution |
1. Curiosity Gap
- What: Open a question, don't answer it. The brain hates an unfinished loop.
- Why: An incomplete pattern creates tension; attention holds at the gap until it closes.
- Move: Reference something specific but unnamed — "this mistake", "this one setting", "the one habit". End on a cliff: "...and that's when everything changed."
- Stronger: Add a stake (reward gained or problem removed) → two gaps: "what is it?" + "what happens?"
- Example: "Most people lose money on this app without ever noticing the one toggle that's draining it."
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 · 157 lines · 67 tokens per session scan A 5a2fae764137
storytelling-hooks is a skill published in the GitHub repository yaxeen/storytelling-skills (9 stars, last pushed 1mo ago), licensed MIT. It adds 67 tokens to every session and 2,532 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 2026-08-31.
Other skills, from other repositories
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self-media-content-workflow
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self-media-platform-copywriting
A writing workflow for turning an approved topic, evidence, and brief into posts for platforms such as X, Xiaohongshu, WeChat, and short-video apps.
self-media-short-video
A planning and production guide for vertical short videos on platforms such as TikTok, Xiaohongshu, and WeChat Channels.
self-media-wechat-publisher
A publishing workflow that turns approved Markdown into formatted WeChat articles or image posts and saves them as drafts.
self-media-content-analytics
A review process for measuring and learning from social-media content using screenshots, exported files, tables, links, or other supplied data.