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/163-java-profiling-refactornpx skills add jabrena/cursor-rules-examples --skill 163-java-profiling-refactorgit 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 | $0.00069 | $0.00416 |
| Opus 5 | $0.00034 | $0.00208 |
| Sonnet 5 | $0.00014 | $0.00083 |
| Haiku 4.5 | $0.00007 | $0.00042 |
Grade A, and why
163-java-profiling-refactor 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 3 / Refactor code to fix issues
Implement refactoring based on profiling analysis: review profiling-problem-analysis-YYYYMMDD.md and profiling-solutions-YYYYMMDD.md, identify specific performance bottlenecks, and refactor code to fix them. Ensure all tests pass after changes.
What is covered in this Skill?
- Review analysis notes: docs/profiling-problem-analysis-YYYYMMDD.md, docs/profiling-solutions-YYYYMMDD.md
- Identify specific bottlenecks from the documented findings
- Refactor code to address CPU hotspots, memory leaks, threading issues, or other performance problems
- Run verification: ./mvnw clean verify or mvn clean verify
Scope: Changes must pass all tests. Apply fixes incrementally and verify after each significant change.
Constraints
Verify that changes pass all tests before considering the refactoring complete.
- MANDATORY: Run
./mvnw clean verifyormvn clean verifyafter applying refactoring - SAFETY: If tests fail, fix issues before proceeding
- BEFORE APPLYING: Read the analysis and solutions documents for specific recommendations
When to use this skill
- Refactor performance
- Optimize hot path
- Performance refactoring
Reference
For detailed guidance, examples, and constraints, see references/163-java-profiling-refactor.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 · 39 lines · 69 tokens per session scan A 6a07fad6e25b
163-java-profiling-refactor is a skill published in the GitHub repository jabrena/cursor-rules-examples (2 stars, last pushed 6d ago), licensed Apache-2.0. It adds 69 tokens to every session and 416 once invoked, about $0.0003 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.
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