Content
75%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.
Highly actionable, executable content with a well-structured single-file bundle and clear subcommand workflows. Main weakness is repetition (repeated base URL and duplicate track-predictions examples) that inflates token cost.
Suggestions
State the base URL once at the top and reference it thereafter instead of repeating `https://deepmind.google.com/science/alphagenome/atlas` three times.
Consolidate the track-predictions examples so they appear in one place (Section 5) rather than duplicated in the Prerequisites block.
Extract the URL query-parameter reference (Section 2) into a dedicated reference file to reduce body density, linking to it from the overview.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Mostly efficient and assumes Claude's competence, but the base URL is restated three times and track-predictions examples appear in two places (Prerequisites and Section 5); the mandatory rules are repeated, adding padding that could be tightened. | 3 / 5 |
Actionability | Provides copy-paste ready, fully executable `uv run scripts/alphagenome_atlas_links.py` commands with real arguments across all subcommands, a concrete CLI option table, and an exact pinned-track key schema with production values. | 5 / 5 |
Workflow Clarity | Subcommand workflows are clearly listed with mandatory rules and gotchas acting as checkpoints, and the body consistently defers error-prone logic to the script; minor gap is the absence of an explicit validate-the-output-URL step before presenting links. | 4 / 5 |
Progressive Disclosure | A single real bundle file (scripts/alphagenome_atlas_links.py) is referenced consistently and at one level of depth, with well-organized sections; the inline URL-parameter reference is somewhat dense and could partly live in a separate reference file. | 4 / 5 |
Total | 16 / 20 Passed |