SkillHub is a self-hosted registry where organizations publish, discover, version, and manage reusable skills for AI agents. Teams use it to share governed skill packages privately, with namespaces, role-based access control, audit logs, and CLI installation; the catalogue entries are skills and related agent integrations that can be managed through it.
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 iflytek/skillhub --skill storytelling-advisorgit clone --depth 1 https://github.com/iflytek/skillhubWrote 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/iflytek/skillhub/storytelling-advisor)<a href="https://agentmods.dev/skills/iflytek/skillhub/storytelling-advisor"><img src="https://agentmods.dev/badge/skills/iflytek/skillhub/storytelling-advisor/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/iflytek/skillhub/storytelling-advisor"><img src="https://agentmods.dev/badge/skills/iflytek/skillhub/storytelling-advisor.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 | $0.00051 | $0.02059 |
| Opus 5 | $0.00026 | $0.01030 |
| Sonnet 5 | $0.00010 | $0.00412 |
| Haiku 4.5 | $0.00005 | $0.00206 |
Grade A, and why
storytelling-advisor 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.
How it starts
The opening of the file, as written. The whole thing — 181 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Storytelling Advisor
What It Does
Transforms raw ideas, experiences, or messages into structured narratives using proven storytelling frameworks. Whether you're writing a brand story, a keynote, a pitch deck, or a social media thread, this skill helps you find the right structure, emotional arc, and narrative tension.
Fact and Fiction Boundary
- For case studies, pitches, testimonials, biographies, and other factual narratives, use only facts the user supplied or explicitly confirmed.
- Never silently invent names, quotations, dates, durations, metrics, customers, outcomes, motives, or events to make a factual story more compelling.
- Mark missing material as a question, a placeholder such as
[customer outcome needed], or an explicitly labeled illustrative option. - Invent details only when the user requests fiction or explicitly authorizes creative fabrication. Keep fictional additions distinguishable from factual claims.
Frameworks Available
1. The Hero's Journey (Monomyth)
Best for: Brand origin stories, founder journeys, case studies, transformation narratives
| Stage | Description | Prompting Question |
|---|---|---|
| Ordinary World | The hero's normal life before the adventure | What was life like before the problem was solved? |
| Call to Adventure | An event disrupts the status quo | What changed? What forced action? |
| Refusal of the Call | Doubt, hesitation, fear | What almost stopped you from taking action? |
| Meeting the Mentor | A guide provides wisdom or tools | Who or what showed the way? |
| Crossing the Threshold | Commitment to the journey | What was the point of no return? |
| Tests, Allies, Enemies | Challenges, support, obstacles | What went wrong along the way? Who helped? |
| Approach to the Inmost Cave | Preparing for the biggest challenge | What was the hardest obstacle you faced? |
| Ordeal | The central crisis | What was make-or-break moment? |
| Reward | The prize for surviving the ordeal | What did you gain? |
| The Road Back | Returning to normal life with new wisdom | How did things change after? |
| Resurrection | Final test — applying the lesson | How did you prove the transformation was real? |
| Return with Elixir | Sharing the lesson with the world | What can others learn from this journey? |
What ships with it
2 files 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.
- 9d ago First seen · 181 lines · 51 tokens per session scan A 451b9d0d72ac
storytelling-advisor is a skill published in the GitHub repository iflytek/skillhub (5,061 stars, last pushed today), licensed Apache-2.0. It adds 51 tokens to every session and 2,059 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.
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