Content
77%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.
An unusually disciplined authoring playbook: novel, executable, and rich in validation loops, with excellent workflow clarity and actionability. Its weaknesses are verbosity (repeated rules and rhetorical padding in a ~63 KB body) and progressive-disclosure discipline — heavy inline detail duplicating reference files, plus example-file references that do not exist in the bundle.
Suggestions
Trim sentence-level rhetorical justifications and consolidate rules stated in multiple sections (mode/write-path, <hold> vs <silence>) into a single statement plus a pointer, targeting roughly half the current body length while keeping every normative rule.
Move the full CA tag table and expected-outcomes rulebook into the existing references/conditional-actions.md and references/expected-outcomes.md, leaving only the decision-relevant subset inline as the write-path overview.
Create the referenced examples/ files (workflow-eval.md, red-team-eval.md, csv-eval-creation.md) or remove the dangling references from the 'Reference files (load on demand)' section.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is almost entirely novel, Cekura-specific operational rules rather than explanations of concepts Claude already knows, so most tokens earn their place. However, at ~63 KB it is padded with long rhetorical justifications ("a suite that silently gains a second copy of a test is one nobody can read later", "an ungrounded assertion does not fail loudly — the condition never fires") and repeats the same rules across sections (the mode/write-path decision restated in 'Mode and write path', 'Behavioral scenarios', the self-checks, and 'Batch routing'; the <hold>-vs-<silence> distinction explained in the tags table, the tag section, 'Batch routing', and 'Personality'), which could be tightened or consolidated into references. | 3 / 5 |
Actionability | Guidance is fully concrete and executable: a complete CA JSON payload, exact field tables with ranges and defaults (<volume ratio="1.5"> is 0–2.0, <noise time="1100"> in bare milliseconds), a per-request mode table, exact trigger phrases for mode switching, numbered refuse-to-send self-checks, and explicit poll/stall/freeze handling with real thresholds. Everything an agent needs to act is specified with no pseudocode. | 5 / 5 |
Workflow Clarity | A clear 7-step workflow is sequenced up front, and validation is explicit at every risky point: mandatory pre-reads, a one-consolidated-checkpoint rule, self-checks before every write, post-generation reconciliation against write responses, stall/freeze retry-once loops with escalation, a 3–5 evaluator smoke cohort before large voice batches, and honest reporting that separates 'created' from 'validated'. Error-recovery feedback loops (rejected writes, blocked outcome lines, setup errors) are all spelled out. | 5 / 5 |
Progressive Disclosure | References are one level deep and well signaled (bold in-body pointers plus a 'Reference files (load on demand)' section), but the main file carries large inline blocks — the full 20-row CA tag table, the entire expected-outcomes rulebook, test-data approaches A/B/C — that overlap the 89 KB references/conditional-actions.md and belong in the reference files. More concretely, the body points to examples/workflow-eval.md, examples/red-team-eval.md and examples/csv-eval-creation.md, and no examples/ directory exists — dangling references. | 3 / 5 |
Total | 16 / 20 Passed |