Content
62%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 delivers genuinely actionable, well-sequenced DCF modeling guidance with strong validation checkpoints, but it is roughly 2-3x longer than it needs to be: requirements are repeated across five sections and finance fundamentals are re-taught. Structure is monolithic — reference material is inlined, one link is dead, and one bundled script is orphaned — which wastes context and creates drift risk between the repeated copies of the same rules.
Suggestions
Deduplicate the sensitivity-table requirements (stated in Critical Constraints, Step 10, correct_patterns, the Sensitivity Analysis section, and the Final Output Checklist) into a single authoritative section and cross-reference it, which would cut hundreds of lines and eliminate drift risk between the copies.
Remove or move the finance-fundamentals re-teaching (CAPM formula derivation, "Net Debt = Total Debt - Cash", "Market Cap = Price × Shares") to a reference file — keep only the skill-specific ranges and layout rules Claude cannot infer.
Fix the bundle structure: create the referenced TROUBLESHOOTING.md (or remove its two dead links), link scripts/validate_dcf.py from the body's validation steps, and move the <correct_patterns>/<common_mistakes> blocks into reference files one level deep.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The 1270-line body restates the sensitivity-table requirements in at least five places ("Populate ALL cells... 75 cells" at the constraints, Step 10, correct_patterns, the Excel-structure section, and the final checklist), repeats the cell-comment format three times, and re-explains finance fundamentals Claude already knows (CAPM, "Market Cap = Price × Shares", "Net Debt = Total Debt - Cash"). This matches anchor 2 (noticeably verbose, several padded sections) — much of the body is genuine skill-specific machinery, so it does not fall to anchor 1. | 2 / 5 |
Actionability | Concrete, executable guidance dominates: exact openpyxl assignments (ws["D20"] = "=D19*(1+$B$8)"), a runnable recalc command (python recalc.py AAPL_DCF_Model_2025-10-12.xlsx 30), hex color codes, and full CSV row maps. The gaps keep it from 5: the hardest deliverable — the sensitivity-cell formula — is only pseudocode (formula = f"=<DCF recalc using {wacc_value} and {term_growth_value}>") and one example formula is syntactically invalid (=IF([Selector]=1"Bear"IF([Selector]=2"Base""Bull")) is missing commas). | 4 / 5 |
Workflow Clarity | Steps 1-10 are explicitly sequenced with stage-gate user confirmations after each phase ("After FCF build → show the full FCF schedule, confirm before computing WACC"), a mandatory recalc-until-success validation loop, and built-in sanity checks (terminal value 50-70% of EV, center cell must equal the implied share price, terminal growth < WACC). This matches the anchor 5 example of clear sequencing with explicit validation and error-recovery feedback loops. | 5 / 5 |
Progressive Disclosure | Section headers are clear, but ~400 lines of <correct_patterns>/<common_mistakes> reference material that clearly belongs in separate files is inlined in SKILL.md; the referenced [TROUBLESHOOTING.md](./TROUBLESHOOTING.md) does not exist in the bundle; and the bundled scripts/validate_dcf.py is never mentioned from the body. This matches anchor 3 (some structure, content that should be separate is inline, references not clearly signaled) rather than anchor 2's minimal structure. | 3 / 5 |
Total | 14 / 20 Passed |