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/jabrena/cursor-rules-examples/161-java-profiling-detectnpx skills add jabrena/cursor-rules-examples --skill 161-java-profiling-detectgit clone --depth 1 https://github.com/jabrena/cursor-rules-examplesWhat 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 | $0.00092 | $0.00486 |
| Opus 5 | $0.00046 | $0.00243 |
| Sonnet 5 | $0.00018 | $0.00097 |
| Haiku 4.5 | $0.00009 | $0.00049 |
Grade A, and why
161-java-profiling-detect 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 yesterday.
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
Java Profiling Workflow / Step 1 / Collect data to measure potential issues
Set up the Java profiling detection phase: automated environment setup with async-profiler v4.0, problem-driven interactive profiling scripts, and comprehensive data collection for CPU hotspots, memory leaks, lock contention, GC issues, and I/O bottlenecks. Uses JEP 518 (Cooperative Sampling) and JEP 520 (Method Timing) for reduced overhead.
What is covered in this Skill?
- Run application with profiling JVM flags (run-java-process-for-profiling.sh)
- Interactive profiling script (profiler/scripts/profile-java-process.sh) — copy exact template
- Directory structure: profiler/scripts/, profiler/results/, profiler/current/
- Automated OS/architecture detection and async-profiler download
- CPU, memory, lock, GC, I/O profiling modes
- Flamegraph and JFR output with timestamped results
Scope: Use the exact bash script templates without modification or interpretation.
Constraints
Copy bash scripts exactly from templates. Ensure JVM flags are applied for profiling compatibility. Verify Java processes are running before attaching profiler.
- CRITICAL: Copy the bash script templates exactly — do not modify, interpret, or enhance
- SETUP: Create profiler directory structure: profiler/scripts, profiler/results
- EXECUTABLE: Make scripts executable with chmod +x
- BEFORE APPLYING: Read the reference for exact script templates and setup instructions
When to use this skill
- Review Java code for profiling
- Add profiling support
Reference
For detailed guidance, examples, and constraints, see references/161-java-profiling-detect.md.
What ships with it
1 file 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.
- yesterday First seen · 41 lines · 92 tokens per session scan A c931d430c180
161-java-profiling-detect is a skill published in the GitHub repository jabrena/cursor-rules-examples (2 stars, last pushed 5d ago), licensed Apache-2.0. It adds 92 tokens to every session and 486 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 2026-08-31.
Other skills, from other repositories
complexity
Wire and satisfy cyclomatic complexity lint. Detect the repo's existing linter, set or keep a cap (default 10), extract until green, never disable the rule. Use when complexity.mdc globs match, lint reports C901/complexity, or the user asks for simpler / less nested code.
uikit-expert
Write, review, or improve UIKit code following best practices for view controller lifecycle, Auto Layout, collection views, navigation, animation, memory management, and modern iOS 18–26 APIs. Use when building new UIKit features, refactoring existing views or view controllers, reviewing code quality, adopting modern…
debugging
Debugs difficult, intermittent, cross-layer, or regression bugs evidence before fixes. Use when the cause is unknown, normal debugging stalled, or the user asks to hunt, diagnose, or root-cause a bug.
redesign-existing-projects
Elaya audit for existing sites/apps that look generic, cheap, or AI-made. Diagnose first, then fix in place (fonts, color, states, layout, motion). Use when Mario says polish, audit, upgrade, or it looks horrible. Product apps apply diagnosis through premium-ui-craft values, not Elaya black/Geist/700ms. Upstream…
testing
Test writing workflows: TDD order, mocks, house gauntlet, regression naming. Use when writing/editing tests or when testing.mdc globs match. Thin rule = roofs; this skill = procedure.
design-stack
Router for Mario's Design agent. Picks one UI skill plus premium-ui-craft. Use at the start of any Product Designer / @Design / UX/UI turn.