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 simbajigege/book2skills --skill creating-superfans-hodakgit clone --depth 1 https://github.com/simbajigege/book2skillsWrote 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/simbajigege/book2skills/creating-superfans-hodak)<a href="https://agentmods.dev/skills/simbajigege/book2skills/creating-superfans-hodak"><img src="https://agentmods.dev/badge/skills/simbajigege/book2skills/creating-superfans-hodak/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/simbajigege/book2skills/creating-superfans-hodak"><img src="https://agentmods.dev/badge/skills/simbajigege/book2skills/creating-superfans-hodak.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 | $0.00034 | $0.01864 |
| Opus 5 | $0.00017 | $0.00932 |
| Sonnet 5 | $0.00007 | $0.00373 |
| Haiku 4.5 | $0.00003 | $0.00186 |
Grade A, and why
creating-superfans-hodak 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 — 160 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Creating Superfans - Skill (Brittany Hodak)
Knowledge source: Creating Superfans: Turning Everyday Customers into Enthusiastic Advocates by Brittany Hodak, 2023. Architecture: Orchestrator + 7 subskills. This file routes the user query; subskills execute the actual workflows.
creating-superfans-hodak/
├── SKILL.md
└── subskills/
├── m1_superfan_diagnosis/
│ ├── module.md
│ └── references/case_library.md
├── m2_story_positioning/
│ ├── module.md
│ └── references/case_library.md
├── m3_customer_understanding/
│ ├── module.md
│ └── references/case_library.md
├── m4_personalization/
│ ├── module.md
│ └── references/case_library.md
├── m5_exceed_expectations/
│ ├── module.md
│ └── references/case_library.md
├── m6_service_recovery/
│ ├── module.md
│ └── references/case_library.md
└── m7_repeatable_supergroups/
├── module.md
└── references/case_library.md
Skill Purpose
Help founders, marketers, sales teams, customer success leaders, support teams, and operators turn ordinary customers into enthusiastic advocates. Hodak's core idea is that superfans are created where the brand's story intersects with the customer's story, then reinforced through understanding, personalization, expectation-exceeding experiences, recovery, and repeatable systems.
This is not a paid ads, SEO, pricing, funnel analytics, or generic growth-hacking playbook. Use it when the question involves customer experience, loyalty, retention, referrals, reviews, advocacy, service recovery, or cross-functional customer centricity.
Workflow Inventory
| Workflow | User question pattern | Inputs | Output | Subskill |
|---|---|---|---|---|
| Superfan diagnosis | "Why are customers not coming back or referring?" | Customer segment, current journey, retention/referral symptoms | Ladder stage, apathy diagnosis, weak SUPER pillar | M1 |
| Story positioning | "How do we differentiate without lowering price?" | Brand origin, values, market, customer promise | Story intersection and category-of-one positioning | M2 |
| Customer understanding | "Who are our customers and what do they really want?" | Customer type, conversations, reviews, support notes | Customer STORY map and voice-of-customer questions | M3 |
| Personalization | "How do we make customers feel seen?" | Customer signals, CRM fields, journey stage, boundaries | Personalization actions and triggers | M4 |
| Exceed expectations | "How do we create word of mouth or memorable experiences?" | Journey touchpoints, expectations, emotional moments | Repeatable experience moments and advocacy triggers | M5 |
| Service recovery | "A customer had a bad experience. What should we do?" | Failure details, customer impact, relationship context | 5 As recovery plan and prevention fix | M6 |
| Repeatable supergroups | "How do we scale CX across teams?" | Team structure, processes, feedback loops, employee experience | System, ownership, metrics, and cross-functional rollout | M7 |
What ships with it
22 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.
- creating-superfans-hodak.zip 47 KB
- LICENSE.txt 204 B
- quotes/apology-recovery-quotes.md 4.4 KB
- quotes/customer-understanding-quotes.md 4.2 KB
- quotes/exceeding-expectations-quotes.md 4.1 KB
- quotes/main-framework-quotes.md 3.7 KB
- quotes/personalization-quotes.md 4.2 KB
- README.md 1.7 KB
- subskills/m1_superfan_diagnosis/module.md 4.2 KB
- subskills/m1_superfan_diagnosis/references/case_library.md 3.7 KB
- subskills/m2_story_positioning/module.md 3.7 KB
- subskills/m2_story_positioning/references/case_library.md 3.7 KB
- subskills/m3_customer_understanding/module.md 3.6 KB
- subskills/m3_customer_understanding/references/case_library.md 4.2 KB
- subskills/m4_personalization/module.md 3.5 KB
- subskills/m4_personalization/references/case_library.md 4.2 KB
- subskills/m5_exceed_expectations/module.md 3.6 KB
- subskills/m5_exceed_expectations/references/case_library.md 4.1 KB
- subskills/m6_service_recovery/module.md 3.9 KB
- subskills/m6_service_recovery/references/case_library.md 4.4 KB
- subskills/m7_repeatable_supergroups/module.md 4.1 KB
- subskills/m7_repeatable_supergroups/references/case_library.md 4.1 KB
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 · 160 lines · 34 tokens per session scan A 755ea0ba13d9
creating-superfans-hodak is a skill published in the GitHub repository simbajigege/book2skills (163 stars, last pushed 17d ago), licensed MIT. It adds 34 tokens to every session and 1,864 once invoked, about $0.0002 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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