Content
67%Scale 1-5Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This is a well-structured orchestration skill that clearly defines a three-step evidence-gathering and rubric-design workflow. Its main strengths are clear workflow sequencing, good boundary definition (explicitly stating what it does and does not do), and appropriate delegation to other skills. Its weaknesses are moderate verbosity in edge-case explanations and the lack of a concrete template or schema for the design file output that gets handed to create-review-plugin.
Suggestions
Add a concrete example or template of the design file output that gets written in Step 3 — showing the expected structure with judges, dimensions, weights, and grounded anchors would make the handoff much more actionable.
Tighten the agent-logs section by consolidating the empty-entries vs no-history distinction into a brief decision table rather than prose paragraphs.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The skill is moderately efficient but includes some unnecessary elaboration. For example, the detailed explanation of how Claude Code expands slash commands, the distinction between empty entries vs empty content, and the explanation of what 'entries present but with empty content' means could be tightened. However, much of the content is domain-specific knowledge Claude wouldn't inherently know. | 3 / 5 |
Actionability | The skill provides concrete commands (e.g., `tessl agent-logs view --json --since <ISO timestamp>`, `/find-optimizations`, `/create-review-plugin`) and specific patterns to look for in transcripts (tool_use blocks named `Skill`, slash commands starting with `/<skill>`). However, it lacks executable code examples and the output format of the design file is not specified with a concrete template or schema. | 4 / 5 |
Workflow Clarity | The three-step workflow (Gather → Map → Hand off) is clearly sequenced with well-defined substeps. The skill includes good conditional logic (e.g., handling empty logs, distinguishing empty entries from no history). However, there are no explicit validation checkpoints between steps — for instance, no verification that evidence gathering produced sufficient signal before proceeding to rubric mapping, though the operation is not destructive. | 4 / 5 |
Progressive Disclosure | The skill references `references/evidence-to-rubric.md` for detailed rubric construction rules and `.tessl/memory/improvement-types.md` for configurable types, keeping the main body at an appropriate overview level. However, since no bundle files were provided, we cannot verify these references exist or are well-structured. The references are one-level deep and clearly signaled, which is good practice. | 4 / 5 |
Total | 15 / 20 Passed |