Ralph Loop (Agent Mode)
Analysis
This instruction-only skill is transparent about its purpose, but it asks agents to run background coding agents that can edit and commit project code, including optional permission-bypass flags.
Findings (5)
Artifact-based informational review of SKILL.md, metadata, install specs, static scan signals, and capability signals. ClawScan does not execute the skill or run runtime probes.
Checks for instructions or behavior that redirect the agent, misuse tools, execute unexpected code, cascade across systems, exploit user trust, or continue outside the intended task.
The agent calls `exec` tool with the coding agent command ... Uses `background: true` ... Uses `process` tool to monitor progress
The skill instructs the OpenClaw agent to launch and manage external coding-agent processes in the background, which is powerful and can affect the user's project environment.
Common flags: - Codex: `--full-auto`, `--yolo`, `--model <model>` - Claude: `--dangerously-skip-permissions`
The skill documents auto-approval and permission-bypass flags for coding CLIs, which can reduce human review and allow broader automatic command execution.
BUILDING: Implement features according to plan, run tests, commit code
The workflow is designed to modify a codebase and commit results, so a bad prompt, bad plan, or unsafe agent action can persist into the project history.
"requirements": { "tools": [ "git", "bash", "one of: opencode, codex, claude, goose, pi, aider" ], "permissions": [ "exec", "process", "file-read", "file-write" ] }Package metadata discloses tools and permissions, but the registry requirements section says no required binaries and no capability tags were derived.
Checks for exposed credentials, poisoned memory or context, unclear communication boundaries, or sensitive data that could leave the user's control.
The loop persists context via `PROMPT.md` + `AGENTS.md` (loaded each iteration) and the plan/specs on disk.
The skill intentionally persists instructions and operational learnings across iterations, which is useful but means those files can influence later agent behavior.
