awesome-long-horizon-agents-survey

Warn

Audited by Gen Agent Trust Hub on Oct 8, 2026

Risk Level: MEDIUMMETADATA_POISONINGINDIRECT_PROMPT_INJECTIONEXTERNAL_DOWNLOADSCOMMAND_EXECUTION
Full Analysis
  • [METADATA_POISONING]: The skill contains fabricated bibliographic data, including a 2026 publication date for a research survey and an invalid social media status ID in the discussion links. There is also a discrepancy between the attribution to 'ara.so' in the document and the provided author context of 'reason-machines'.
  • [INDIRECT_PROMPT_INJECTION]: The skill instructs the agent to clone and parse a remote GitHub repository (RUC-NLPIR/Awesome-Long-Horizon-Agents). This creates an attack surface where instructions embedded in the repository's markdown files could influence agent behavior.
  • Ingestion points: git clone and grep operations on the downloaded repository content in SKILL.md.
  • Boundary markers: None; the agent is not provided with delimiters or instructions to ignore content within the downloaded files.
  • Capability inventory: Shell execution (git, grep, cd) and potentially arbitrary tool usage via the MCPAgent pattern described in the examples.
  • Sanitization: Absent; no filtering or validation is performed on the ingested content before the agent processes it.
  • [EXTERNAL_DOWNLOADS]: The skill initiates a download from a remote GitHub repository (https://github.com/RUC-NLPIR/Awesome-Long-Horizon-Agents.git). While the target organization is known, the retrieval of external data for processing introduces risks associated with untrusted content.
  • [COMMAND_EXECUTION]: The skill utilizes shell commands (git clone, cd, grep) to manage and search external data, which is an expected but powerful capability that must be monitored.
Audit Metadata
Risk Level
MEDIUM
Analyzed
Oct 8, 2026, 11:38 PM