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Scan reports · Orchestra-Research/AI-Research-SKILLs

training-llms-megatron: scan report

Trains large language models (2B-462B parameters) using NVIDIA Megatron-Core with advanced parallelism strategies. Use when training models >1B parameters, need maximum GPU efficiency (47% MFU on H100), or require… An automated scan of this public skill from Orchestra-Research/AI-Research-SKILLs: security, token cost, spec and clarity, with every finding and its fix.

Result

Verdict

training-llms-megatron

92/100 · grade A

Orchestra-Research/AI-Research-SKILLs/08-distributed-training/megatron-core at 773a529

Spec 21 · Efficiency 25 · Clarity 21 · Security 25 (each out of 25)

Always loaded 88 tokens · on trigger 2,262 · on demand 9,847

  • spec/non-portable-keys warn · SKILL.mdNon-spec frontmatter (version, author, tags, dependencies). claude.ai and the Skills API reject the upload; move them under `metadata` or drop them.
  • clarity/output warn · SKILL.mdDoesn't say what the result should look like. Add an Output section.

Where it comes from

Source

FactValue
RepositoryOrchestra-Research/AI-Research-SKILLs
Skill folder08-distributed-training/megatron-core
Stars13,703
LicenseMIT
Commit scanned773a529
Scanned2026-10-19
Files5

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FAQ

Questions

Is training-llms-megatron safe to install?
No known risky patterns found. The scan covers prompt injection, hidden Unicode, remote code execution and credential access in every text file of the skill. It cannot judge intent, so read any flagged line in context before installing.
How was this score calculated?
Four checks of 25 points each: spec, efficiency, clarity and security. Findings take points off the check they belong to, and any critical finding caps the grade at F. The same scanner runs in your browser at proskills.dev/scan.
Is this report current?
It was made from commit 773a529 on 2026-10-19. If the skill has changed since, paste the new version into the scanner for a fresh score.
I wrote this skill. Can I fix the score or have the page removed?
Fix the findings and push. The reports are rebuilt from GitHub on a schedule, so the next run picks the change up. To have the page removed, open an issue on the ProSkills GitHub repo.

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