The Agent Skills Directory

Indirect Prompt Injection (HIGH): The skill lacks sanitization for user-provided data.
Ingestion points: User requests enter the system in Phases/Observe.md via ISCManager.ts --request.
Boundary markers: No delimiters or safety instructions wrap the ISC row descriptions when they are passed to subagents.
Capability inventory: The framework can spawn subagents with Engineer, Architect, and Pentester roles, and has access to Browser automation and local command execution via bun run.
Sanitization: None found. Phases/Execute.md explicitly shows row descriptions being used directly in subagent prompts: `Task({ prompt: "[Row description]
implement this requirement" })`. An attacker could inject malicious subagent instructions into the initial request.
Persistence Mechanisms (HIGH): The RalphLoopExecutor.ts and Phases/Execute.md document a persistent execution pattern.
Evidence: The 'Ralph Loop' writes state to ~/.claude/ralph-loop.local.md and mentions a 'stop hook' that intercepts agent exit to feed the prompt back to the AI. This allows the agent to maintain activity across sessions or until a specific 'promise' tag is seen in the output.
Command Execution (MEDIUM): The skill frequently executes local TypeScript files using the bun runtime.
Evidence: Files like Phases/Execute.md and Reference/ISCFormat.md list numerous commands (e.g., bun run ISCManager.ts, bun run EffortClassifier.ts). If the arguments to these tools (derived from ISC rows) are not handled safely by the underlying TypeScript code, it enables local command injection.
Remote Code Execution (MEDIUM): The framework delegates tasks to multiple remote researcher subagents.
Evidence: Data/Capabilities.yaml defines subagents like PerplexityResearcher and GeminiResearcher. Maliciously crafted ISC rows could be used to trigger these agents to perform unauthorized web research or data retrieval.

THEALGORITHM