The Agent Skills Directory

[COMMAND_EXECUTION]: The skill executes local shell commands and a Python script to interact with the git version control system.
Evidence: SKILL.md contains a dynamic context injection (!) that runs git diff --stat to provide immediate context on file changes when the skill is loaded.
Evidence: The skill instructs the agent to execute python3 ${CLAUDE_SKILL_DIR}/scripts/diff-analyzer.py [base_branch] to categorize changes and scan for secrets.
Subprocess Safety: The scripts/diff-analyzer.py script uses subprocess.run() with argument lists (rather than shell strings) for git commands like rev-parse and diff. This follows security best practices by preventing shell injection even if a malicious branch name were provided as an argument.
[PROMPT_INJECTION]: The skill is susceptible to indirect prompt injection because it processes untrusted data (git diffs and file contents) which could contain adversarial instructions.
Ingestion points: Git diff output and file contents read via the Read tool in SKILL.md and scripts/diff-analyzer.py.
Boundary markers: The skill uses Markdown sections to structure its workflow, but does not provide explicit instructions to the agent to disregard instructions embedded within the code changes being reviewed.
Capability inventory: The agent has access to Read, Grep, Glob, and Bash tools as defined in the frontmatter.
Sanitization: No explicit sanitization or filtering of external code content is performed before the agent analyzes it, although the Python script performs regex-based scanning for secrets.

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