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 agentmods add skills/lexq-io/lexq-cli/lexq-simulationnpx skills add lexq-io/lexq-cli --skill lexq-simulationgit clone --depth 1 https://github.com/lexq-io/lexq-cliWrote 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/lexq-io/lexq-cli/lexq-simulation)<a href="https://agentmods.dev/skills/lexq-io/lexq-cli/lexq-simulation"><img src="https://agentmods.dev/badge/skills/lexq-io/lexq-cli/lexq-simulation.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 | $0.00000 | $0.03004 |
| Opus 5 | $0.00000 | $0.01502 |
| Sonnet 5 | $0.00000 | $0.00601 |
| Haiku 4.5 | $0.00000 | $0.00300 |
Grade A, and why
lexq-simulation 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 3d 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 — 393 lines — stays where its author put it; the contents beside it link to each section on GitHub.
LexQ CLI — Simulation & Testing
Prerequisite: Read
lexq-shared/SKILL.mdfirst.
Overview
LexQ provides three levels of pre-deploy validation:
| Tool | Scope | When to Use |
|---|---|---|
| Dry Run | Single input | Quick validation of one scenario |
| Dry Run Compare | Single input, two versions | Side-by-side version comparison |
| Simulation | Batch (historical data) | Full regression test before deploy |
Golden rule: Always dry-run before publishing, always simulate before deploying to production.
1. Requirements Analysis
Before testing, check what facts a version expects:
lexq analytics requirements --group-id <gid> --version-id <vid>
Response includes:
{
"groupId": "...",
"versionId": "...",
"versionNo": 3,
"requiredFacts": [
{
"key": "paymentAmount",
"type": "NUMBER",
"required": true,
"usedBy": [
"VIP Discount",
"Premium Block"
]
},
{
"key": "customerTier",
"type": "STRING",
"required": true,
"usedBy": [
"VIP Discount"
]
}
],
"exampleRequest": {
"facts": {
"paymentAmount": 0,
"customerTier": ""
},
"context": {}
}
}
Always run this before dry-run. Copy exampleRequest.facts as your starting template and fill in real values.
exampleRequest.context comes back empty, and it stays empty even when the group has an A/B test
running. Live execution requests against such a group also need context.trafficKey or the test
version receives no traffic — see the A/B testing section of the groups skill. Dry-run itself is
unaffected: it always evaluates the version you name, so routing never applies here.
2. Dry Run (Single Input)
Test a single set of facts against a version:
lexq analytics dry-run --version-id <vid> --json '{
"facts": {
"paymentAmount": 150000,
"customerTier": "VIP"
}
}'
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.
- 3d ago First seen · 393 lines · 0 tokens per session scan A 1fd1db45e40b
lexq-simulation is a skill published in the GitHub repository lexq-io/lexq-cli (0 stars, last pushed 5d ago), licensed Apache-2.0. It costs nothing until one of its globs matches a file; then it loads 3,004 tokens. 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 2026-08-31.
Other skills, from other repositories
streamsql
当需要创建实时数据聚合/窗口统计、流式过滤转换、变化检测(CDC)、生命周期累计、元数据富化(流-表 JOIN)、CEP 模式识别(MATCHRECOGNIZE)等规则链时使用,或当使用 x/streamAggregator 和 x/streamTransform 组件时使用。包含 SQL 语法、窗口、分析函数、JOIN、CEP 和配置示例.
bean-tool-skill
Skill that binds a Spring-managed Java tool for DI verification tests.
tool-skill
Skill that binds a Java tool for LiteFlow ReAct agent tests.
demo
Demo skill for LiteFlow ReAct agent tests.
research
Research skill for LiteFlow ReAct agent tests.
paper-logic
Review a LaTeX paper for argument-level logic, cross-section consistency, and house style. Complements /paper-review (sentence-level style) with whole-paper reasoning checks.