Content
88%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.
A tightly written, highly actionable skill body with strong sequencing and validation for destructive consent-gated edits. Minor conciseness redundancy and the absence of any external reference structure keep it just short of top marks.
Suggestions
Consolidate the repeated 'never make the agent dumber', consent, and 'never claim an unmeasured saving' rules into a single binding-rules section referenced once to reduce restatement.
Consider extracting the savings-reporting rungs and attribution rules into a references/ file to lighten the inline body while keeping the main workflow prominent.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Dense and rule-packed with no padding about concepts Claude already knows, but several rules are restated multiple times ('never make the agent dumber', consent, never claim unmeasured savings), so a few tokens could still be trimmed. | 4 / 5 |
Actionability | Fully executable guidance throughout — concrete commands with flags such as 'caveman learn report --json', 'caveman learn apply <sink_id> --dry-run', 'caveman mem remember -- "<the real block>"' cover the common cases copy-paste ready. | 5 / 5 |
Workflow Clarity | Sequenced by fix class (REDUCIBLE, RECURRING_CONTEXT, SKILL_DISTILLATION) with explicit validation checkpoints — the net-token-negative gate, sha256 block verification, recall-path guard, and revert paths — plus feedback loops for these destructive edits. | 5 / 5 |
Progressive Disclosure | No bundle files exist and the skill is a single well-organized SKILL.md with clear sections and no nested references; structure is good, though the reporting/savings block is dense inline content that could be split out. | 4 / 5 |
Total | 18 / 20 Passed |