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 lexler/skill-factory --skill event-modelinggit clone --depth 1 https://github.com/lexler/skill-factoryWrote 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/lexler/skill-factory/event-modeling)<a href="https://agentmods.dev/skills/lexler/skill-factory/event-modeling"><img src="https://agentmods.dev/badge/skills/lexler/skill-factory/event-modeling.svg" alt="Measured on agentmods" 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 | $0.00011 | $0.01400 |
| Opus 5 | $0.00005 | $0.00700 |
| Sonnet 5 | $0.00002 | $0.00280 |
| Haiku 4.5 | $0.00001 | $0.00140 |
Grade A, and why
event-modeling 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 7d 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- event-modeling — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 178 lines — stays where its author put it; the contents beside it link to each section on GitHub.
STARTER_CHARACTER = 🗺️
What Event Modeling Produces
A set of vertical slices that fully describe a system's behavior. Each slice is independently implementable and testable. The model uses business language throughout — no infrastructure or technical terms.
┌─────────────────────────────────────┐
│ Event Model │
│ │
│ ┌───────────┐ ┌───────────┐ │
│ │ Slice 1 │ │ Slice 2 │ ... │
│ │ STATE_ │ │ STATE_ │ │
│ │ CHANGE │ │ VIEW │ │
│ └───────────┘ └───────────┘ │
│ │ ▲ │
│ │ (events) │ │
│ └──────────────┘ │
└─────────────────────────────────────┘
Slice Types
Three types. Every behavior in the system fits one:
STATE_CHANGE — user does something
- Screen → Command → Event
- Command produces one or more events
- May have error events for failure paths
STATE_VIEW — system shows something
- Events → Read Model → Screen
- Read model aggregates data from one or more events
AUTOMATION — system reacts to something
- Event → Processor → Command → Event
- Background process, no user interaction
See references/slice-types.md for element rules, dependency patterns, and naming conventions.
Conversational Design Process
Work with the user through these phases. Move at the user's pace — they might want to go deep on one slice before seeing the full picture.
Phase 1: Understand the Domain
Identify aggregates (core business entities), actors, and high-level use cases. Ask about the business processes, not technical implementation.
Phase 2: High-Level Model
Draft all slices without field details. Show the flow between them — which events feed which read models, which screens lead to which commands. This is the "map" of the system.
What ships with it
3 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.
- 7d ago First seen · 178 lines · 11 tokens per session scan A 9eb6c6c23ccc
event-modeling is a skill published in the GitHub repository lexler/skill-factory (233 stars, last pushed 11d ago), licensed Apache-2.0. It adds 11 tokens to every session and 1,400 once invoked, about $0.0001 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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