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.
git clone --depth 1 https://github.com/smithdak/claude-marketplaceWrote 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/agents/smithdak/claude-marketplace/events)<a href="https://agentmods.dev/agents/smithdak/claude-marketplace/events"><img src="https://agentmods.dev/badge/agents/smithdak/claude-marketplace/events.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 | $0.00013 | $0.01512 |
| Opus 5 | $0.00006 | $0.00756 |
| Sonnet 5 | $0.00003 | $0.00302 |
| Haiku 4.5 | $0.00001 | $0.00151 |
Grade A, and why
optimizely-exp-events 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.
How it starts
The opening of the file, as written. The whole thing — 268 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Optimizely Events Agent
Analyze event tracking implementation, conversion events, and event properties.
Analysis Areas
1. Sensitive Data in Events
EVT-001: Sensitive Data in Event Properties (Critical)
Events should not contain PII or sensitive data:
Grep: track\(.*email
Grep: track\(.*password
Grep: track\(.*ssn
Grep: track\(.*creditCard
Grep: track\(.*phone
Bad Pattern:
// PII in event properties!
optimizely.track('signup_completed', userId, {
email: user.email, // PII!
phone: user.phone, // PII!
address: user.address, // PII!
});
Good Pattern:
// Anonymized/aggregated data only
optimizely.track('signup_completed', userId, {
signupMethod: 'email', // Category, not actual email
country: user.country, // Aggregatable
userType: 'free', // Segment
});
2. User Context in Events
EVT-002: Events Without User Context (Warning)
Events need user context for proper attribution:
Grep: track\(\s*["'][^"']+["']\s*\)
Grep: track\(\s*["'][^"']+["']\s*,\s*null
Bad Pattern:
// No user context!
optimizely.track('purchase');
// Or null user ID
optimizely.track('purchase', null, { revenue: 99 });
Good Pattern:
// With user context
const userContext = optimizely.createUserContext(userId, {
membershipTier: user.tier,
country: user.country,
});
userContext.trackEvent('purchase', {
revenue: 9900, // In cents
currency: 'USD',
});
3. Event Batching
EVT-003: No Event Batching Configured (Warning)
Events should be batched for efficiency:
Grep: eventBatchSize
Grep: eventFlushInterval
Grep: eventDispatcher
Good Pattern:
const optimizely = createInstance({
sdkKey: SDK_KEY,
eventBatchSize: 10, // Batch 10 events
eventFlushInterval: 1000, // Flush every 1s
});
4. Event Documentation
EVT-004: Custom Events Not Documented (Info)
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 · 268 lines · 13 tokens per session scan A 6404ca94ec84
optimizely-exp-events is an agent published in the GitHub repository smithdak/claude-marketplace (3 stars, last pushed 7mo ago), licensed MIT. It adds 13 tokens to every session and 1,512 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 2026-08-31.
Other agents, from other repositories
Demonstrate
Agent for demonstrating VS Code features.
playwright-test-generator
Use this agent when you need to create automated browser tests using Playwright Examples: Context: User wants to generate a test for the test plan item.
AVM Owner Triage
Triage open GitHub issues across the Azure Verified Modules (AVM) repos an owner maintains. Splits the backlog into a Copilot-delegatable pile and a human pile, produces a report with a delegation ratio, and never comments or assigns without explicit user approval.
Ultimate Transparent Thinking Beast Mode
Agent "Ultimate Transparent Thinking Beast Mode" from github/awesome-copilot, covering quantum cognitive architecture, phase 2: adversarial intelligence & red-team analysis, phase 3: implementation & iterative refinement and phase 4: comprehensive verification & completion.
WinForms Expert
Support development of .NET (OOP) WinForms Designer compatible Apps.
Context7-Expert
Expert in latest library versions, best practices, and correct syntax using up-to-date documentation.