Content
86%Weight 40%Scale 1-5Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
An actionable, well-structured skill body with executable commands and a clear cyclic workflow backed by validation and safety bounds. The only slack is a small amount of historical commentary that could be cut for token efficiency.
Suggestions
Trim or remove the 'UX note' about the retired Ralph loop — it is historical context that does not help Claude execute the current skill.
Inline the one or two exact validation commands (e.g. how to run --validate or read the green sentinel from the state file) so the workflow checkpoints are fully self-contained rather than delegated to the script.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is lean and assumes Claude's competence (no explanation of what a PR or codex is), but the 'UX note' contrasting the retired Ralph loop is historical context that does not earn its tokens and could be trimmed. | 4 / 5 |
Actionability | Provides copy-paste-ready executable commands for the common cases — starting ('uv run ... prp_loop.py "$ARGUMENTS" --cli codex'), resuming ('--resume'), stopping after a stage ('--until implement'), and an authoritative green check ('--validate "<cmd>"'). | 5 / 5 |
Workflow Clarity | The plan→implement→PR→review→cycle sequence is clearly enumerated with validation checkpoints (VALIDATION: GREEN sentinel, --validate) and explicit halt conditions; because validation is described rather than missing, the destructive-cap does not apply, though the exact validation invocations are delegated to the script rather than inlined. | 4 / 5 |
Progressive Disclosure | A short, well-sectioned overview that points one level deep to a single real bundle script (scripts/prp_loop.py, confirmed present), with no nested references and easy navigation. | 5 / 5 |
Total | 18 / 20 Passed |