skills/nha-in/docs/uhi-consultation/Gen Agent Trust Hub

uhi-consultation

Pass

Audited by Gen Agent Trust Hub on Oct 9, 2026

Risk Level: SAFEINDIRECT_PROMPT_INJECTIONEXTERNAL_DOWNLOADSCREDENTIALS_UNSAFEOBFUSCATION
Full Analysis
  • [INDIRECT_PROMPT_INJECTION]: The skill helps developers build applications that ingest untrusted data from the UHI network, such as hospital catalogs (on_search) and service terms (on_init). This creates an attack surface for indirect prompt injection if the agent were to process these fields without sanitization.
  • Ingestion points: Catalogs in on_search and terms in on_init (documented in references/scaffold.md and references/design.md).
  • Boundary markers: The skill describes structured data fields but does not explicitly instruct the agent to use boundary markers when processing natural language content within those fields.
  • Capability inventory: The skill provides technical documentation and curl examples; it does not directly possess filesystem-write or arbitrary command execution capabilities.
  • Sanitization: The documentation does not specify sanitization or validation rules for natural language fields ingested from external providers.
  • [EXTERNAL_DOWNLOADS]: The skill instructs users to clone and run the 'Header Generation Utility' from the official NHA-ABDM GitHub repository (https://github.com/NHA-ABDM/UHI/tree/main/header_generator_utility). This is a resource provided by the National Health Authority of India for implementing the UHI protocol.
  • [CREDENTIALS_UNSAFE]: The skill provides instructions for handling Ed25519 signing keys and patient PINs. It includes security best practices, explicitly warning developers to keep private keys in server-side secret storage and to keep PINs in memory only, avoiding databases and logs.
  • [OBFUSCATION]: A Base64 string is included in references/scaffold.md as a placeholder for an agent's photo in a sample API request. Technical analysis of the decoded content shows it to be benign binary data consistent with an image placeholder.
Audit Metadata
Risk Level
SAFE
Analyzed
Oct 9, 2026, 09:46 AM