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 skills add jabrena/plinth --skill 162-java-profiling-analyzegit clone --depth 1 https://github.com/jabrena/plinthWrote 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/jabrena/plinth/162-java-profiling-analyze)<a href="https://agentmods.dev/skills/jabrena/plinth/162-java-profiling-analyze"><img src="https://agentmods.dev/badge/skills/jabrena/plinth/162-java-profiling-analyze/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/skills/jabrena/plinth/162-java-profiling-analyze"><img src="https://agentmods.dev/badge/skills/jabrena/plinth/162-java-profiling-analyze.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00117 | $0.00781 |
| Opus 5 | $0.00059 | $0.00391 |
| Sonnet 5 | $0.00023 | $0.00156 |
| Haiku 4.5 | $0.00012 | $0.00078 |
Grade A, and why
162-java-profiling-analyze 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 — 67 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Java Profiling Workflow / Step 2 / Analyze profiling data
Analyze profiling results systematically: inventory results (flamegraphs, JFR, GC logs, thread dumps), identify problems (memory leaks, CPU hotspots, threading issues), document findings using standardized templates (profiling-problem-analysis-YYYYMMDD.md, profiling-solutions-YYYYMMDD.md), prioritize using Impact/Effort scores, and correlate multiple profiling files for validation.
What is covered in this Skill?
- Inventory: scan profiler/results/ for allocation-flamegraph, heatmap-cpu, memory-leak, *.jfr, *.log, *.txt
- Problem identification: memory (leaks, excessive allocations, GC pressure), performance (CPU hotspots, blocking), threading (deadlocks, contention, pool saturation)
- Documentation: docs/profiling-problem-analysis-YYYYMMDD.md, docs/profiling-solutions-YYYYMMDD.md
- Prioritization: Impact (1–5) / Effort (1–5), focus on high priority first
- Tools: async-profiler, JFR, JProfiler/YourKit, GCViewer, flamegraphs, heatmaps
Scope: Validate profiling results represent realistic load scenarios. Cross-reference multiple files. Include quantitative metrics.
Constraints
Validate profiling results represent realistic load before analysis. Document assumptions and limitations. Cross-reference multiple files.
- VALIDATE: Ensure profiling results represent realistic load scenarios before analysis
- DOCUMENT: Record assumptions and limitations in analysis reports
- CROSS-REFERENCE: Use multiple profiling files to validate findings
- BEFORE APPLYING: Read the reference for problem analysis and solutions templates
- EDGE CASE: If request scope is ambiguous, stop and ask a clarifying question before applying changes
- EDGE CASE: If required inputs, files, or tooling are missing, report what is missing and ask whether to proceed with setup guidance
When to use this skill
- Analyze JFR profile
- Analyze the profile
- Analyze the performance
- Analyze the memory
- Analyze the threading
- Analyze the GC
- Analyze the profiling
- Prioritize Java profiling bottlenecks by impact
- Performance analysis
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.
- 7d ago First seen · 67 lines · 117 tokens per session scan A f0226fbf59a2
162-java-profiling-analyze is a skill published in the GitHub repository jabrena/plinth (438 stars, last pushed yesterday), licensed Apache-2.0. It adds 117 tokens to every session and 781 once invoked, about $0.0006 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 2026-09-03.
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