Content
82%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.
The body is a tight, well-structured overview with concrete path conventions and an explicit evidence gate, supported by real reference files; the main gaps are deferred executable commands and two unlisted references.
Suggestions
Surface the build script invocation (e.g. the build_literature_canvas.py command from CANVAS-WORKFLOW.md) inline so the body is directly executable.
Link the 'Read next' entries as markdown links and add CANVAS-WORKFLOW.md / GRAPH-WORKFLOW.md so all bundle files are discoverable.
Inline a short validate-fix-retry loop around the evidence gate to make the workflow's recovery path explicit.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The ~40-line body is lean and assumes Claude's competence, with no padding and no explanation of concepts Claude already knows; every rule earns its place. | 5 / 5 |
Actionability | Concrete file paths and explicit required fields (Evidence Record ID, source type, claim strength, allowed/forbidden wording) give specific guidance, but the actual executable build commands live in reference files rather than the body. | 4 / 5 |
Workflow Clarity | A clear Sources->Knowledge->Writing->canvas sequence with an explicit evidence-gate checkpoint ('only after promoted claims pass the evidence gate'), though the validate-fix-retry recovery loop is delegated to references rather than inlined. | 4 / 5 |
Progressive Disclosure | A clear 'Read next' section signals one-level-deep references that all resolve to real files, but two reference files (CANVAS-WORKFLOW.md, GRAPH-WORKFLOW.md) are unlisted and references use backtick paths rather than clickable links. | 4 / 5 |
Total | 17 / 20 Passed |