Content
56%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 well-organized with a clear five-step workflow, explicit decision gates, and expert-level domain content that assumes Claude's intelligence. Its main weaknesses are a bundle that is entirely absent (all referenced scripts, references, and the intake template do not exist, making the executable workflow non-runnable and all references dangling) and redundant/overlong sections (duplicated skill-routing lists, inlined forcing-question library) that inflate the token budget.
Suggestions
Ship the bundle the body promises: add the actual scripts/rfp_parser.py, scripts/response_drafter.py, scripts/winrate_predictor.py, references/*.md, and assets/rfp_intake_template.md so the workflow commands are executable and every reference pointer resolves.
Consolidate the overlapping 'Do not use for' and 'Distinct from' sections into one routing block, and move the 7-question forcing-question library with its canon citations into a reference file (keeping only the question list and walk order inline) to cut roughly 40 lines.
Add an explicit output-validation step after each script (e.g., verify parsed.json requirement count against the RFP's section count, re-run on mismatch) with a fix-and-rerun loop, mirroring the GAP-audit and no-bid-threshold gates already present.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body assumes Claude's competence (no explaining what an RFP is) and is mostly dense, decision-useful content. But 'Do not use for' (lines 35-40) and 'Distinct from' (lines 114-120) cover the same five sibling skills with heavy overlap, and the ~33-line forcing-question library with per-question canon citations reads like reference material inlined in the overview. This fits the score-3 anchor ('mostly efficient but includes some unnecessary explanation or could be tightened') — not 4, since the duplication and inlined library are more than minor trimmable instances. | 3 / 5 |
Actionability | Concrete commands with flags are given ('python scripts/rfp_parser.py --input rfp.md --output json > parsed.json', '--profile enterprise-software', '--help and --sample') plus hard rules (no-bid threshold < 20%). However, none of the referenced files exist in the bundle — scripts/, references/, and assets/ are absent — so the commands cannot actually execute, and Step 2's draft_input.json format is unspecified. This lands on the score-3 anchor ('some concrete guidance but incomplete... missing key details') rather than 4, where gaps would be minor. | 3 / 5 |
Workflow Clarity | A clearly sequenced 5-step workflow (parse → score fit → win-themes → winrate → decide) with per-step commands and outputs, plus decision gates: GAP audit surfacing for leadership, the '<2 requirements = decorative theme' flag, and the pre-script forcing-question checklist with an error branch ('If question 6 lands on "we don't have a threshold," set one now or no-bid'). Not 5 because there is no validation of script outputs themselves (e.g., verifying parsed.json against the source RFP), so checkpoints are decision gates rather than verification steps — matching score 4 ('clear sequence with most checkpoints present; minor validation gaps'). | 4 / 5 |
Progressive Disclosure | Section structure is good and references are clearly signaled one level deep ('references/shipley_method_canon.md — Shipley Proposal Guide v6...'), but the bundle contains none of the referenced files — no references/, scripts/, or assets/ directories exist, so every pointer (including 'See references/rfp_anti_patterns.md' in Anti-patterns) is dangling and the disclosure promise cannot resolve. That breaks navigation enough to hold this at score 3 ('some structure but could be better organized') rather than 4, despite the well-organized in-body layout. | 3 / 5 |
Total | 13 / 20 Passed |