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.
A highly actionable, well-sequenced operational guide with real commands for every lifecycle path including futures and manual fractional-share entry. Its weaknesses are density and placement: large changelog-flavored policy paragraphs sit in Prerequisites instead of a reference file, two referenced bundle paths are dangling, and one lifecycle operation lacks a CLI example.
Suggestions
Move the long-only/short-rejection and initial-stop validation paragraphs out of Prerequisites into a dedicated reference file (or a clearly labeled policy section), rewriting changelog phrasing like "remain compatible" and "rejected before they can be discarded" as direct instructions.
Add a CLI example for mark_reviewed (the only lifecycle operation shown Python-only) and a quick verification step after mutating operations, e.g. `store --state-dir state/theses/ list --ticker AMD --status ACTIVE`.
Fix the Resources section: `schemas/thesis.schema.json` and `../../examples/workflows/trade-memory-loop/sample-run-full-path/` are absent from the bundle, and `assets/postmortem_template.md` is never referenced — either add/reference these files or remove the dangling paths.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Mostly efficient — command blocks pair with tight explanations and no space is spent on concepts Claude already knows — but the ~30-line long-only/short-policy and initial-stop paragraphs ("Explicit SHORT directions are rejected before they can be discarded…", "Absent optional pairs and existing finite nonpositive-price behavior remain compatible") are changelog-style, hard to parse, and sit inline in Prerequisites where reference-level detail belongs; "Phase 1 supports single-ticker theses" is also repeated in both Overview and Key Principles. This fits "mostly efficient but includes some unnecessary explanation or could be tightened" rather than the minor-trim anchor at 4. | 3 / 5 |
Actionability | Every lifecycle operation has a concrete, runnable command with real flags (ingest, transition, open-position, trim, close/terminate, review-due, postmortem, summary), plus a complete manual-ingest JSON example, the backdated three-step sequence for an already-open position, futures variants, and a documented Python API (get/validate_thesis). The few `python3 .../trader_memory_cli.py` abbreviations are obvious shorthand after the full path is shown twice, so examples are effectively copy-paste ready and cover the common cases. | 5 / 5 |
Workflow Clarity | The workflow is clearly sequenced (Register → Query → Update → Review → Postmortem) with an explicit forward-only state machine, per-status invariants (e.g. "ACTIVE ⇒ shares_remaining == shares"), fail-closed ingest rules, and a prioritized dependency-recovery loop for the launcher ("Install uv and re-run"). It falls short of 5 because verification is described as built-in tool behavior rather than explicit workflow steps (no post-transition confirm command), and `mark_reviewed` — uniquely among lifecycle operations — has no CLI example, only the Python signature. | 4 / 5 |
Progressive Disclosure | Good structure overall: a Resources section clearly signals one-level-deep references (`references/thesis_lifecycle.md`, `references/field_mapping.md`) that genuinely exist and hold the deep material (state tables, field mappings), and the body is sectioned by workflow stage. Minor gaps keep it from 5: the referenced `schemas/thesis.schema.json` and `../../examples/workflows/…` path do not exist in the skill bundle, and `assets/postmortem_template.md` is never referenced from SKILL.md, while the dense short-policy prose that could live in a reference is inlined. | 4 / 5 |
Total | 16 / 20 Passed |