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 high-quality, action-oriented body: concrete tree.py commands, an explicit six-step loop with a held-out merge-gate validation checkpoint, and clean one-level-deep references to real bundle files. The only weakness is minor rhetorical padding that slightly inflates the token budget.
Suggestions
Trim rhetorical asides like "This is what turns trial-and-error into cumulative, auditable research" and "Getting this right matters more than any later decision" that restate the value proposition rather than instruct.
The parenthetical ablation numbers in step 5 (54.5% vs 63.6% vs 81.8%) justify insight propagation but could be condensed to one sentence to save tokens while keeping the evidence.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Mostly efficient and the methodology explanations (HTR, the ablation numbers) are justified because the topic is niche rather than common knowledge, but a few rhetorical asides — "This is what turns trial-and-error into cumulative, auditable research", "Getting this right matters more than any later decision" — could be trimmed. Not a 5 because not every token earns its place; not a 3 because the padding is minor rather than pervasive. | 4 / 5 |
Actionability | Fully executable, copy-paste-ready `python scripts/tree.py` commands throughout (init, observe, cycle, add-node, set-status, set-evidence, propagate, prune, merge) with realistic arguments, plus a concrete four-field executor return contract — matching the copy-paste-ready anchor. | 5 / 5 |
Workflow Clarity | A clearly sequenced six-step coordinator loop (Observe→Ideate→Select→Dispatch→Backpropagate→Decide) with an explicit validation checkpoint — the held-out merge gate run in a fresh worktree — and a feedback loop (gate rejection recorded as a lesson rather than silently promoting), so the batch/destructive cap does not apply. | 5 / 5 |
Progressive Disclosure | SKILL.md is a well-signaled overview; deeper material lives one level deep in real reference files (htr-methodology.md, executor-brief.md, report-template.md, arbor-upstream.md, all confirmed present) cited inline at the relevant step and summarized in a final Reference files section. | 5 / 5 |
Total | 19 / 20 Passed |