Borrowing it
Nothing to install: this file belongs to Priyans-hu/tokenmeter. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/Priyans-hu/tokenmeter/main/.cursorrulesgit clone --depth 1 https://github.com/Priyans-hu/tokenmeterWrote 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/rules/priyans-hu/tokenmeter/cursorrules)<a href="https://agentmods.dev/rules/priyans-hu/tokenmeter/cursorrules"><img src="https://agentmods.dev/badge/rules/priyans-hu/tokenmeter/cursorrules/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/rules/priyans-hu/tokenmeter/cursorrules"><img src="https://agentmods.dev/badge/rules/priyans-hu/tokenmeter/cursorrules.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 | $0.00303 | $0.00303 |
| Opus 5.5 | $0.00121 | $0.00121 |
| Sonnet 5.5 | $0.00061 | $0.00061 |
| Haiku 4.5 | $0.00030 | $0.00030 |
Grade A, and why
cursorrules 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.
What it actually says
You are working on TokenMeter, a macOS menu bar app for tracking Claude Code usage.
Tech Stack
- Swift 5.9+, SwiftUI, macOS 14+
- Swift Package Manager (no Xcode project)
- Swift Concurrency (async/await, actors, @MainActor)
Build
cd TokenMeter && swift build -c release
Key Files
- TokenMeterApp.swift — MenuBarExtra app entry
- UsageViewModel.swift — @MainActor ObservableObject, state management
- Services/NativeUsageParser.swift — JSONL parser for ~/.claude/projects/
- Services/UsageAPIService.swift — Keychain reader + Anthropic API client
- Models/UsageSummary.swift — All data models and ClaudePlan enum
- Views/ — SwiftUI views (dashboard, rate limits, heatmap, charts, settings)
Patterns
- UsageAPIService is an actor (thread-safe)
- UsageViewModel is @MainActor (UI-bound)
- API + local JSONL parsing run concurrently via async let
- API data preferred for rate limits, local JSONL for costs/breakdowns
- UserDefaults for caching and settings persistence
- UNUserNotificationCenter for rate limit alerts
Guidelines
- Keep the app lightweight — it runs in the menu bar
- No Xcode project files — use SPM only
- macOS 14+ minimum (for MenuBarExtra)
- Verify changes compile: swift build -c release
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 · 32 lines · 303 tokens per session scan A 5b1552c1576c
cursorrules is a cursor rule published in the GitHub repository Priyans-hu/tokenmeter (4 stars, last pushed 7mo ago), licensed MIT. It adds 303 tokens to every session, about $0.0012 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 2026-08-31.
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