skills/mukul975/anthropic-cybersecurity-skills/performing-active-directory-compromise-investigation/Gen Agent Trust Hub
performing-active-directory-compromise-investigation
Pass
Audited by Gen Agent Trust Hub on Sep 17, 2026
Risk Level: SAFEINDIRECT_PROMPT_INJECTIONMETADATA_POISONING
Full Analysis
- [SAFE]: The skill provides standard cybersecurity forensic tools. The Python scripts
scripts/agent.pyandscripts/process.pyuse standard libraries (json,xml.etree.ElementTree) to parse structured log data and perform rule-based detection of known attack signatures (Event IDs 4662, 4769, 4768, etc.). No unauthorized network communication or command execution was detected. - [INDIRECT_PROMPT_INJECTION]: The skill processes external Windows Event Logs (JSON/XML), which are untrusted data sources that could theoretically contain malicious strings intended for the analyzing agent.
- Ingestion points:
scripts/agent.py(JSON) andscripts/process.py(XML) ingest local files provided via command-line arguments. - Boundary markers: Absent; the scripts extract data from structured fields but do not explicitly wrap content in protective delimiters for the LLM context.
- Capability inventory: The scripts are restricted to file-system reads for input and local file-system writes for JSON report generation. No
eval(),exec(), or subprocess capabilities are present. - Sanitization: Input is parsed through standard Python JSON and XML libraries, ensuring structural validity before analysis.
- [METADATA_POISONING]: There is a minor inconsistency between the
authorfield inSKILL.md(mahipal) and the copyright notice in theLICENSEfile (mukul975). However, sincemukul975is the verified vendor for this skill context, this is assessed as a metadata discrepancy rather than a malicious poisoning attempt.
Audit Metadata