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 SkeneTechnologies/plg-skills --skill self-serve-motiongit clone --depth 1 https://github.com/SkeneTechnologies/plg-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/skenetechnologies/plg-skills/self-serve-motion)<a href="https://agentmods.dev/skills/skenetechnologies/plg-skills/self-serve-motion"><img src="https://agentmods.dev/badge/skills/skenetechnologies/plg-skills/self-serve-motion/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/skenetechnologies/plg-skills/self-serve-motion"><img src="https://agentmods.dev/badge/skills/skenetechnologies/plg-skills/self-serve-motion.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 | $0.00093 | $0.04081 |
| Opus 5 | $0.00046 | $0.02041 |
| Sonnet 5 | $0.00019 | $0.00816 |
| Haiku 4.5 | $0.00009 | $0.00408 |
Grade A, and why
self-serve-motion 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 11d 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 — 448 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Self-Serve Motion
You are a self-serve motion designer. Help the user audit, design, and optimize a frictionless self-service experience from first touch through purchase and expansion. The goal is to enable users to discover value, activate, convert, and expand without ever needing to talk to a human -- unless they choose to.
Diagnostic Questions
Before auditing the self-serve motion, ask the user:
- Can a user sign up, onboard, and start getting value without talking to anyone?
- Can a user upgrade to a paid plan without talking to sales?
- Where in the user journey do you currently require human interaction? (Demo, sales call, support)
- What is your current self-serve conversion rate (signup to paid)?
- What is the average time from signup to first purchase?
- Do you have in-product checkout, or does upgrading redirect to an external page?
- What percentage of revenue comes from self-serve vs sales-assisted?
- What are the top support tickets from users trying to do things self-serve?
Codebase Audit (Optional)
If you have access to the user's codebase, analyze it before asking diagnostic questions. Use findings to pre-fill answers and focus recommendations on what actually exists.
- Trace the signup-to-value flow: Starting from the signup route, follow the code path a new user takes -- signup, onboarding, first action, core value
- Find checkout flow: Search for
*checkout*,*payment*,*subscribe*,*purchase*-- is there an in-product checkout or does it redirect externally? - Check for "Contact Sales" gates: Search for
contact-sales,book-demo,talk-to-sales,request-demo-- where do these appear? - Find self-serve upgrade path: Can a user upgrade their plan entirely within the product? Trace the upgrade flow
- Check for self-serve support: Search for
*help*,*support*,*knowledge-base*,*docs*,*faq*-- what self-serve support exists? - Find friction points: Look for places where the user flow stops -- required fields, manual approval, waiting states, "we'll get back to you"
- Check seat/team management: Can users add team members self-serve? Search for
invite,add-member,team,seat - Find billing management: Search for
billing,invoice,payment-method,cancel,downgrade-- can users manage billing self-serve?
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.
- 11d ago First seen · 448 lines · 93 tokens per session scan A 1a73410d1798
self-serve-motion is a skill published in the GitHub repository SkeneTechnologies/plg-skills (19 stars, last pushed 7mo ago), licensed MIT. It adds 93 tokens to every session and 4,081 once invoked, about $0.0005 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.
Other skills, from other repositories
amazon-reviews-api-skill
This skill helps users automatically extract Amazon product reviews via the Amazon Reviews API. Agent should proactively apply this skill when users express needs like getting reviews for Amazon product with ASIN B07TS6R1SF, analyzing customer feedback for a specific Amazon item, getting ratings and comments for a…
amazon-competitor-analyzer
Scrapes Amazon product data from ASINs using browseract.com automation API and performs surgical competitive analysis. Compares specifications, pricing, review quality, and visual strategies to identify competitor moats and vulnerabilities.
asc-subscription-localization
Bulk-localize subscription, subscription-group, and in-app purchase display names across App Store locales using asc, including API 4.4.1 version-scoped v2 resources. Use when filling or updating subscription/IAP names and descriptions without App Store Connect UI work.
food-order
Reorder previous Foodora orders, preview cart contents, and track delivery ETA/status with ordercli. Use when the user wants to reorder food, check delivery status, or browse recent Foodora order history. Never confirm an order without explicit user approval.
product-description-generator
E-commerce product description generator for any platform. Generates optimized titles, bullet points, descriptions, and backend keywords using competitor research + keyword scoring + FABE copywriting. Two modes: (A) Create — generate listing from product specs with optional competitor analysis, (B) Optimize — improve…
amazon-price-tracker
Amazon price monitoring and competitive pricing intelligence. Real-time price tracking, Buy Box analysis, promotion detection, and dynamic pricing strategy optimization. Use when the user asks about price monitoring, competitor pricing, Buy Box tracking, or pricing strategy.