Agent skill · Audited from source
Java Parallel Algorithm Benchmarking And Speedup Reporting
skill · ECNU-ICALK/AutoSkillLicence not declaredAudited 14 Oct 2026 · source 04e912cff54b
Is it safe? Yes — SAFE, grade B (89/100). We read this skill's source at commit 04e912cff54b and found no filesystem, network or shell access and no hard-coded secrets. What it does: Implements parallel algorithms in Java and benchmarks them by varying thread counts (1, 2, 4, 6, 8, 10, 12, 14, 16), repeating 5 times, and reporting individual run times and averages.
Cite
Cite this page
ModelsAtlas. “Java Parallel Algorithm Benchmarking And Speedup Reporting (ECNU-ICALK/AutoSkill)”. Retrieved 14 Oct 2026. https://modelsatlas.com/skills/ecnu-icalk/java-parallel-algorithm-benchmarking-and-speedup-reporting
Trust audit
Audit 0.4.1 · source read 14 Oct 2026
SAFE means nothing in the source contradicts what the skill says it does. Grade B is shared by 16,667 of 17,602 audited skills.
What the source does
- FilesystemNone observedNo reads or writes in the source
- NetworkNone observedNo outbound calls in the source
- ShellNone observedNo commands run in the source
- DependenciesPinnedNothing floats
- SecretsNone foundNo keys in source
Five audit layers
| Layer | What we check | Result | Findings |
|---|---|---|---|
L0 Provenance | Repo owner, licence, archive status, activity | PASS | 0 |
L1 Static source | Secrets, path traversal, supply chain, hidden code | NA | 0 |
L2 Instructions | Prompt injection, authority framing, hidden directives | PASS | 0 |
L3 Inventory | The files and declarations match the source | PASS | 0 |
L4 Sandbox | Run in isolation and watch behaviour | SKIPPED why | 0 |
Gates applied: no behavioural pass.
Findings (0)
No findings at any severity. We re-audit when the source changes.
Audit 0.4.1 · source sha 04e912cff54b · 14 Oct 2026Report an issue or request a re-scan
Provenance
Who published it, and what the verdict is pinned to
- PublisherECNU-ICALK GitHub organizationOwner of the repository this skill is read from
- Source folderECNU-ICALK/AutoSkill/SkillBank/ConvSkill/english_gpt4_8_GLM4.7/java-parallel-algorithm-benchmarking-and-speedup-reportingThe exact folder we audited
- LicenceNot declaredAs the repository states it
- Commit pinned for this verdict04e912cff54bA new audit runs when the source changes
- Repository statusNot archivedLast push 157 days ago
- Sandboxed runNot runSkills are read, not executed; layer L4 is skipped
What it tells the agent
Full source on GitHub ↗Its description: Implements parallel algorithms in Java and benchmarks them by varying thread counts (1, 2, 4, 6, 8, 10, 12, 14, 16), repeating 5 times, and reporting individual run times and averages.
--- id: "df850be0-a3dd-46f5-b628-f119b4243e04" name: "Java Parallel Algorithm Benchmarking and Speedup Reporting" description: "Implements parallel algorithms in Java and benchmarks them by varying thread counts (1, 2, 4, 6, 8, 10, 12, 14, 16), repeating 5 times, and reporting individual run times and averages." version: "0.1.0" tags: - "java" - "parallel computing" - "benchmarking" - "performance testing" - "concurrency" triggers: - "Develop parallel codes for the following problems using JAVA" - "Report the speedup of your implementations by varying the number of threads" - "Repeat the experiment five times and consider the average" - "benchmark parallel java code" - "java parallel performance analysis" --- # Java Parallel Algorithm Benchmarking and Speedup Reporting Implements parallel algorithms in Java and benchmarks them by varying thread counts (1, 2, 4, 6, 8, 10, 12, 14, 16), repeating 5 times, and reporting individual run times and averages. ## Prompt # Role & Objective You are a Java Parallel Algorithm Developer and Performance Analyst. Your task is to implement the requested parallel algorithm in Java and generate a performance report following a strict benchmarking protocol. # Operational Rules & Constraints 1. **Algorithm Implementation**: Implement the requested parallel algorithm (e.g., Counting Sort, Median-of-Medians, QuickSelect) using appropriate Java concurrency utilities (e.g., `ForkJoinPool`, `Thread`, `RecursiveTask`). 2. **Benchmarking Setup**: Create a main method or test harness to evaluate the performance of the implementation. 3. **Thread Variation**: Vary the number of threads specifically as: 1, 2, 4, 6, 8, 10, 12, 14, and 16. 4. **Repetition**: Repeat the experiment exactly 5 times for each thread count. 5. **Timing**: Measure the execution time of each run (e.g., using `System.nanoTime()` or `System.currentTimeMillis()`). 6. **Reporting**: Report the running time of each of the 5 runs and the calculated average time for each thread count. 7. **Data Consistency**: Use the same dataset for all thread counts to ensure a fair comparison. 8. **Output Format**: Provide the complete Java code including the algorithm implementation and the benchmarking logic. # Communication & Style Preferences - Provide clear, compilable Java code. - Ensure the benchmarking loop is clearly structured. - Output the timing results in a readable format (e.g., console output). ## Triggers - Develop parallel codes for the following problems using JAVA - Report the speedup of your implementations by varying the number of threads - Repeat the experiment five times and consider the average - benchmark parallel java code - java parallel performance analysis
Excerpt, first 2,732 characters of SKILL.md, verbatim from the audited commit. It is text from someone else’s repository, quoted so you can judge it before your agent reads it.
Install
Pinned to the audited commit 04e912c
git clone https://github.com/ECNU-ICALK/AutoSkill git -C AutoSkill checkout 04e912cff54b
The author documents no install command, so this uses the repository directly. Our verdict covers commit 04e912cff54b only.
Works in
The author has not said which agents this skill supports, and we have not tested it in any.
Audit history
Every audit, every source change
- ✓SAFE B 89 / 100
first audit · source
04e912cff54b
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Questions about Java Parallel Algorithm Benchmarking And Speedup Reporting
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Sources
- github.com/ECNU-ICALK/AutoSkill/tree/main/SkillBank/ConvSkill/en — the audited source at commit 04e912cff54b and every finding aboveObserved · 14 Oct 2026
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Opens with this page as the source. We add nothing else to the prompt.
- What does the Java Parallel Algorithm Benchmarking And Speedup Reporting skill do?
- Is Java Parallel Algorithm Benchmarking And Speedup Reporting safe to install?
- What can Java Parallel Algorithm Benchmarking And Speedup Reporting access on my machine?