Content
85%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 well-engineered instruction-only skill: the workflow is clearly sequenced with explicit validation and fallback handling, and supporting material is properly split into real, one-level-deep references. The main residual costs are mild redundancy in the reference-resolution and precedence prose and a couple of steps (awk extraction, manual tree drawing) described rather than given as runnable commands.
Suggestions
Provide the literal extraction command (e.g., the fixed awk expression or a bounded Read recipe) instead of the abstract 'fixed `awk`, or heading searches + bounded Read ranges', so phase-section extraction is copy-paste ready.
Deduplicate the reference-resolution instructions (stated in both section 1 and section 3) and compress the skill-context precedence paragraph to reduce token cost.
Add one compact example of a rendered tree (with the +/~/-/?/* legend and the planned-paths footer) so the manual fallback path is unambiguous when the helper cannot run.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is dense, imperative, and free of explanations of concepts Claude already knows ('Never run implementation discovery's mutation steps', 'A checked box is planned progress, not proof that tests passed'). Minor trim opportunities remain: reference resolution is stated twice ('Resolve this reference beside the installed entrypoint' in section 1 and 'resolve this trusted installed helper beside this entrypoint' in section 3) and the precedence paragraph in the skill-context section is boilerplate-heavy. | 4 / 5 |
Actionability | Concrete guidance throughout: exact invocation 'Run `python3 -I -B <helper>` with JSON on stdin', a complete JSON input example, exact config keys with defaults ('.ai-factory/PLAN.md', '.ai-factory/plans/', ...), and exact continuation commands ('/aif-implement @<entrypoint>', '/aif-verify'). It falls short of fully copy-paste-ready because section extraction names techniques ('Batch section extraction when practical (fixed `awk`, or heading searches + bounded Read ranges)') without a literal command, and the manual-tree fallback has no worked example. | 4 / 5 |
Workflow Clarity | Clear numbered sequence (resolve context -> read just enough -> present summary and file map) with prerequisite reading order and explicit validation checkpoints ('Validate the ultra marker and the existence/containment of Phase Index links first'). Error recovery and stop conditions are explicit at nearly every step ('If sections are absent, say which phase lacks a file/objective summary'; 'If Python/helper execution is unavailable or not permitted, draw the same tree manually'; 'a missing reference stops discovery'). The skill is read-only, so the destructive/batch validation cap does not apply. | 5 / 5 |
Progressive Disclosure | The body is an overview that cleanly offloads detail to two well-signaled, one-level-deep references that both exist on disk: [read-only discovery](references/PLAN-OVERVIEW-DISCOVERY.md) and [file_tree.py](references/plan-overview/file_tree.py). PLAN-OVERVIEW-DISCOVERY.md contains no further nested bundle references, navigation is easy, and content is appropriately split. | 5 / 5 |
Total | 18 / 20 Passed |