magic-linguistic-bitext

Pass

Audited by Gen Agent Trust Hub on Jul 3, 2026

Risk Level: SAFE
Full Analysis
  • [DYNAMIC_EXECUTION]: The Python scripts scripts/alignment_score.py and scripts/synthetic_bitext_recipes.py calculate the path to the internal _linguistic_shared directory and add it to the module search path via sys.path.insert to load bundled dependencies. This is a local configuration for module resolution within the skill package.
  • [INDIRECT_PROMPT_INJECTION]: The skill workflow involves processing external linguistic datasets (parallel bitext and monolingual corpora). While this presents a potential attack surface for indirect prompt injection if the source data contains malicious instructions, the skill implementation focuses on data alignment and filtering.
  • Ingestion points: Parallel and monolingual corpora files (SKILL.md, Step 2 & 5).
  • Boundary markers: None explicitly mentioned in the instructions for input data.
  • Capability inventory: The provided scripts perform metadata analysis and recommendation generation; they do not include dangerous operations like arbitrary code execution or network writes.
  • Sanitization: No explicit text sanitization or filtering for injection patterns in source data is specified in the workflow.
  • [EXTERNAL_DOWNLOADS]: The skill documentation and reference files (e.g., references/mining_recipes.md, references/canonical_sources.md) point to reputable linguistic resources and research repositories, such as those from SIL International, Meta Research, and the OPUS project.
Audit Metadata
Risk Level
SAFE
Analyzed
Jul 3, 2026, 07:00 AM
Security Audit — agent-trust-hub — magic-linguistic-bitext