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 matteotitta/genesys-skills --skill onboarding-video-scriptgit clone --depth 1 https://github.com/matteotitta/genesys-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/matteotitta/genesys-skills/onboarding-video-script)<a href="https://agentmods.dev/skills/matteotitta/genesys-skills/onboarding-video-script"><img src="https://agentmods.dev/badge/skills/matteotitta/genesys-skills/onboarding-video-script/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/matteotitta/genesys-skills/onboarding-video-script"><img src="https://agentmods.dev/badge/skills/matteotitta/genesys-skills/onboarding-video-script.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 | $0.00170 | $0.03300 |
| Opus 5.5 | $0.00068 | $0.01320 |
| Sonnet 5.5 | $0.00034 | $0.00660 |
| Haiku 4.5 | $0.00017 | $0.00330 |
Grade A, and why
onboarding-video-script 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 1mo 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 — 256 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Onboarding Video Script
Writes the script a founder or PM reads aloud to record a product onboarding video. The video's job is to walk a brand-new user from first touch to one aha moment and end with a habit-forming CTA that attaches the product action to an existing daily trigger ("tomorrow morning, do X").
Output is a two-column markdown deliverable — talk track on the left, on-screen action / click path on the right, with timing markers and production notes. Modeled on the demo-script two-column pattern; differs by being founder-owned (not sales-owned), single-aha (not feature-tour), and habit-CTA-terminated (not "next steps").
The body of this file holds decision-grade context (when to invoke, inputs, duration tables, the single-aha and TTV rules, anti-hallucination guardrails, integration). Step-by-step process, two-column output template, the aha-moment framework, founder narration craft library, duration templates, quality gates, and the feedback loop live in the premium reference.
Doctrine inherited (Step 7 — 0626 rollout)
Output complies with:
output-tenets.md— the seven tenetsoutput-simplicity.md— length caps, three-layer source placement, robot-tells ban- Step 6 calibration: see [[feedback_execution_doctrine_refinements_step6]]
Refinements applied to this skill:
| Code | Refinement | How it lands in onboarding-video-script |
|---|---|---|
| R1 | Source placement (three layers) | Script is internal-reference (founder reads it aloud) BUT the video output is end-customer-facing. Talk-track column has no source attribution. Production-notes column carries internal cites for QA only. The video itself never carries a "Sources:" frame. |
| R3 | Product-update tone | Founder narration frames as "we shipped X to fix Y" not "we are thrilled to introduce." Even on launch-day videos. Operator-direct founder voice. |
| R6 | CTA hierarchy | The closing habit-CTA names the product-action tied to a daily trigger ("tomorrow morning, do X") — NOT a sign-up CTA (viewer already signed up to see the onboarding video). Per Step 6 warm-base = product-action rule. |
| R9 | Action-oriented section names | "Hook / Land the aha / Habit-trigger close" — verb-led across script beats. |
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.
- 1mo ago First seen · 256 lines · 170 tokens per session scan A a251294281ee
onboarding-video-script is a skill published in the GitHub repository matteotitta/genesys-skills (46 stars, last pushed 13d ago), licensed MIT. It adds 170 tokens to every session and 3,300 once invoked, about $0.0007 per session on Opus 5.5. 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.
Other skills, from other repositories
deepline-quickstart
Run a quick Deepline demo with a maintained Play.
first-call-rampup
Audits a new rep's early sales call transcript against a six-technique foundational rubric (opening, open-ended questioning, pain uncovered, trigger surfaced, pitch clarity, rapport) and credits only what the buyer's replies show, as a coaching read. Use when the user asks to coach a newly ramped rep, review a rep's…
coaching-plan
Writes a short coaching plan for one rep from two or more of their call transcripts or audit outputs, naming the pattern that repeats, the question to practice, a drill, and how to check progress. Use when a manager asks for a coaching plan, wants to turn call reviews into one thing a rep can work on, or needs a 1:1…
rep-ramp-status-digest
Reads a new rep's calls over several weeks and writes a ramp status by technique (opening, questioning, pain, trigger, pitch, rapport), marking each as improving, flat, regressing, or not enough evidence, with a quote from each call. Use when a manager asks how a new rep is ramping, wants a ramp status for a 1:1, or…
meta-learn
Captures a completed skill session in depth: three extraction questions (what surprised you, what was wrong, what was missing) become falsifiable pattern statements, logged to /context/skill-sessions.md for meta-synthesis. Trigger on: "capture what we learned", "log this session", "save the learnings", "what did we…
scout-mindset-bias-check
Detects and removes cognitive biases from reasoning using Julia Galef's Scout Mindset framework. Provides reversal tests, scope sensitivity checks, status quo bias tests, confidence interval audits, and full bias audits. Use when a prediction feels emotional, stuck at 50/50, or when validating forecasting process. Use…