Content
92%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 strongly engineered workflow document: executable commands throughout, explicit sequencing with stop conditions, validation, error-recovery loops, and a clean overview-plus-references structure. The only weakness is minor non-essential content — a hardcoded time-sensitive receipt-date table and maintainer-facing build provenance — that costs some token efficiency.
Suggestions
Move the submission receipt-date table into a reference file (or add a 'verify current dates at grants.nih.gov' instruction) — hardcoded dates like 'Feb 5, Jun 5, Oct 5' are time-sensitive and will silently drift out of accuracy.
Trim the build-provenance footer ('Source spec ... gitignored', 'Build pattern: Path B', 'PR #657 audit') from the body — it is maintainer metadata that consumes agent context without operational value.
Replace the hardcoded fiscal_years example array '[2023, 2024, 2025, 2026]' in the curl templates with a placeholder pointing to the fiscal_year_calculator.py output, so the copy-paste commands cannot be run with stale years.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is largely lean — no explanations of concepts Claude already knows (no 'what is NIH' or library tutorials), and the intake questions, curl templates, and tables are all operational content. Minor trimmable material remains: the hardcoded submission receipt dates ('Feb 5, Jun 5, Oct 5' etc.) are time-sensitive and not in a deprecated/verification section, and the build-provenance footer ('Source spec ... gitignored, not present', 'PR #657 audit', 'Path B (direct conversion)') is maintainer noise irrelevant to the executing agent. This fits anchor 4 ('Efficient; minor instances ... that could be trimmed') better than anchor 5, and better than anchor 3, which requires more substantial unnecessary explanation. | 4 / 5 |
Actionability | Guidance is fully executable: complete copy-paste curl POST commands with full JSON payloads for both narrow (AND) and broad (OR) RePORTER searches, exact script invocations with flags ('python scripts/mechanism_matcher.py --career-stage "early_career" --prelim-data "pilot" ...'), literal intake question scripts with option lists, the NOSI URL pattern, and a runnable docx validation command ('python3 -c "import zipfile,sys; zipfile.ZipFile(sys.argv[1]).testzip()"'). This matches the score-5 anchor (copy-paste ready, common cases covered) rather than anchor 4, which allows minor gaps — placeholders like <research idea> are the only substitutions needed. | 5 / 5 |
Workflow Clarity | The workflow is clearly sequenced Phase 1 (intake with a hard stop condition: 'After Q6, commit and start Phase 2A. Never re-open intake') → Phase 2A/2B → Phase 3 → Phase 4, with explicit validation in Phase 4 (zip-integrity check plus confirming required sections are present), feedback loops (retry once after 3s; after 3 consecutive failures stop and alert; 'Consensus returns 0 for a facet → surface explicitly'), and a checklist-style Anti-Patterns section. This matches the score-5 anchor (explicit validation steps, error-recovery feedback loops, checklists) rather than anchor 4, which permits minor validation gaps. | 5 / 5 |
Progressive Disclosure | The body is a genuine overview that splits detail into three one-level-deep, well-signaled reference files (references/reporter_post_patterns.md, references/nih_mechanism_matching.md, references/docx_9_sections.md — all verified to exist), linked both inline and in a dedicated '## References' section, plus a '## Tooling' table for the three scripts. The full DOCX spec and mechanism matrix live in references while only summaries stay inline. This matches the score-5 anchor (clear overview, well-signaled one-level-deep references, appropriate split) rather than anchor 4, which expects minor organization gaps. | 5 / 5 |
Total | 19 / 20 Passed |