skills/jeremylongshore/claude-code-plugins-plus-skills/forecasting-time-series-data/Gen Agent Trust Hub
forecasting-time-series-data
Pass
Audited by Gen Agent Trust Hub on May 3, 2026
Risk Level: SAFEPROMPT_INJECTIONNO_CODE
Full Analysis
- [PROMPT_INJECTION]: The skill exhibits a surface for indirect prompt injection as it is designed to ingest and analyze external time-series data (e.g., CSV files).
- Ingestion points: Processes historical time-series data from user-provided or local files as described in
SKILL.mdandassets/README.md. - Boundary markers: Absent. The instructions do not include delimiters or specific guidance for the agent to ignore potentially malicious instructions embedded within the data files.
- Capability inventory: The skill is granted high-privilege tools including
Bash(cmd:*),Write, andEditinSKILL.md, which could be exploited if malicious instructions are successfully injected via a data file. - Sanitization: Absent. No evidence of input validation or escaping for the data being processed.
- [NO_CODE]: Several core script files required for the skill's primary functionality are missing.
- Evidence: The file
scripts/README.mdexplicitly listsforecast.py,evaluate.py, andpreprocess.pyas bundled resources, but these files are not present in the skill directory.
Audit Metadata