ai-llm

Covers the full lifecycle of LLM development, from strategy selection to deployment and operations, ensuring cost and safety controls.

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96/100

Security score

The ai-llm skill was audited on Mar 8, 2026 and we found 4 security issues across 1 threat category. Review the findings below before installing.

low line 16

External URL reference

SourceSKILL.md

16	- Safety: Threat modeling, data governance, layered mitigations (NIST AI RMF: https://nvlpubs.nist.gov/nistpubs/ai/NIST.AI.100-1.pdf)

low line 104

External URL reference

SourceSKILL.md

104	- Adaptation options: prompting → retrieval → adapters (LoRA) → full fine-tune; choose by stability and ROI (LoRA: https://arxiv.org/abs/2106.09685).

low line 106

External URL reference

SourceSKILL.md

106	- Governance: data retention, residency, licensing, and auditability are product requirements (EU AI Act: https://eur-lex.europa.eu/eli/reg/2024/1689/oj; NIST GenAI Profile: https://nvlpubs.nist.g

low line 111

External URL reference

SourceSKILL.md

111	- Instrument requests with tokens, latency, and error classes (OpenTelemetry GenAI semantic conventions: https://opentelemetry.io/docs/specs/semconv/gen-ai/).

Scanned on Mar 8, 2026

GitHub Stars 3

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Categorydevelopment

UpdatedApril 10, 2026