Is lambda-labs-gpu-cloud safe to install?

1 critical finding: read before installing. 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.

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

lambda-labs-gpu-cloud: scan report

Reserved and on-demand GPU cloud instances for ML training and inference. Use when you need dedicated GPU instances with simple SSH access, persistent filesystems, or high-performance multi-node clusters for… 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

lambda-labs-gpu-cloud

63/100 · grade F

Orchestra-Research/AI-Research-SKILLs/09-infrastructure/lambda-labs at 773a529

Spec 21 · Efficiency 17 · Clarity 25 · Security 0 (each out of 25)

Always loaded 63 tokens · on trigger 2,920 · on demand 6,674

sec/remote-exec critical · references/troubleshooting.md:148Downloads and executes remote code.
sec/secret-read warn · SKILL.md:64Touches credential files.
sec/secret-read warn · references/advanced-usage.md:253Touches credential files.
sec/persistence warn · references/advanced-usage.md:609Installs persistence or edits shell/agent config.
sec/secret-read warn · references/troubleshooting.md:93Touches credential files.
eff/body-lines warn · SKILL.mdSKILL.md body is 537 lines; keep it under 500 and move detail into reference files.
sec/permissions warn · references/troubleshooting.md:145Escalates permissions.
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.
sec/exfiltration warn · SKILL.md:221Sends a secret in a request. Normal for API auth; check the host is the service the key belongs to.
sec/exfiltration warn · references/troubleshooting.md:12Sends a secret in a request. Normal for API auth; check the host is the service the key belongs to.

Where it comes from

Source

Fact	Value
Repository	Orchestra-Research/AI-Research-SKILLs
Skill folder	09-infrastructure/lambda-labs
Stars	13,703
License	MIT
Commit scanned	773a529
Scanned	2026-10-19
Files	3

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For maintainers

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[![ProSkills scan 63/100](https://proskills.dev/badge?score=63)](https://proskills.dev/reports/orchestra-research-lambda-labs-gpu-cloud)

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FAQ

Questions

Is lambda-labs-gpu-cloud safe to install?: 1 critical finding: read before installing. 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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