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

nemo-guardrails: scan report

NVIDIA's runtime safety framework for LLM applications. Features jailbreak detection, input/output validation, fact-checking, hallucination detection, PII filtering, toxicity detection. Uses Colang 2.0 DSL 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

nemo-guardrails

66/100 · grade D

Orchestra-Research/AI-Research-SKILLs/07-safety-alignment/nemo-guardrails at 773a529

Spec 9 · Efficiency 19 · Clarity 25 · Security 13 (each out of 25)

Always loaded 70 tokens · on trigger 1,772 · on demand 0

  • eff/description-trigger warn · SKILL.mddescription doesn't say *when* to use the skill ("Use when …"). Agents decide from this line alone.
  • sec/prompt-injection warn · SKILL.md:60Tries to override the agent's instructions. Reads as an example or a warning here; check it in context.
  • sec/prompt-injection warn · SKILL.md:61Role-hijack phrasing. Reads as an example or a warning here; check it in context.
  • 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.
  • spec/broken-ref warn · SKILL.md:268References references/colang-guide.md, which isn't in the skill folder.
  • spec/broken-ref warn · SKILL.md:270References references/integrations.md, which isn't in the skill folder.
  • spec/broken-ref warn · SKILL.md:272References references/performance.md, which isn't in the skill folder.

Where it comes from

Source

FactValue
RepositoryOrchestra-Research/AI-Research-SKILLs
Skill folder07-safety-alignment/nemo-guardrails
Stars13,703
LicenseMIT
Commit scanned773a529
Scanned2026-10-19
Files1

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[![ProSkills scan 66/100](https://proskills.dev/badge?score=66)](https://proskills.dev/reports/orchestra-research-nemo-guardrails)

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FAQ

Questions

Is nemo-guardrails safe to install?
No critical findings, some security notes. 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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