Writes session logs, records delegation decisions, and tracks review/dispute outcomes in NDJSON format. Use when logging session activity, recording audit trails, or running pre-response verification checklists.
80
100%
Does it follow best practices?
Impact
—
No eval scenarios have been run
Passed
No known issues
Quality
Discovery
100%Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.
This is a strong skill description that clearly articulates specific capabilities (session logs, delegation decisions, review/dispute outcomes in NDJSON), includes an explicit 'Use when' clause with natural trigger terms, and occupies a distinct niche. It uses proper third-person voice throughout and is concise without being vague.
| Dimension | Reasoning | Score |
|---|---|---|
Specificity | Lists multiple specific concrete actions: 'writes session logs', 'records delegation decisions', 'tracks review/dispute outcomes', and specifies the format (NDJSON). These are concrete, well-defined capabilities. | 3 / 3 |
Completeness | Clearly answers both 'what' (writes session logs, records delegation decisions, tracks review/dispute outcomes in NDJSON format) and 'when' (explicit 'Use when' clause covering logging session activity, recording audit trails, or running pre-response verification checklists). | 3 / 3 |
Trigger Term Quality | Includes natural keywords users would say: 'session logs', 'delegation decisions', 'review/dispute outcomes', 'NDJSON', 'audit trails', 'verification checklists', 'session activity'. Good coverage of domain-specific terms a user would naturally use. | 3 / 3 |
Distinctiveness Conflict Risk | Highly distinctive with a clear niche: NDJSON session logging, delegation decisions, audit trails, and pre-response verification checklists. The combination of these specific capabilities and the NDJSON format makes it very unlikely to conflict with other skills. | 3 / 3 |
Total | 12 / 12 Passed |
Implementation
100%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This is a well-crafted skill that efficiently communicates a logging protocol with concrete, executable CLI examples for each event type. The hard gate framing, immediate verification step, and pre-response checklist create a robust workflow with clear validation checkpoints. Progressive disclosure is well-handled with appropriate references to schema docs and shared snippets.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The content is lean and efficient. Every section serves a purpose with concrete CLI examples. No unnecessary explanations of what logging is or why it matters — it jumps straight to actionable commands and constraints. | 3 / 3 |
Actionability | Every event type has a fully executable, copy-paste-ready CLI command with realistic flag values. The verification step (`tail -1`) is concrete. The checklist is specific and actionable. | 3 / 3 |
Workflow Clarity | The workflow is clear: log events immediately after they occur (not batched), verify with `tail -1`, then run the pre-response checklist before responding. The hard gate at the top and the STOP checklist at the bottom create explicit validation checkpoints with clear sequencing. | 3 / 3 |
Progressive Disclosure | The SKILL.md provides a concise overview with all essential commands inline, while appropriately referencing deeper content via one-level-deep links: `README.md` for full schema, `logging-mandatory.md` snippet, `base-output-contract` snippet, and the self-improvement skill. Navigation is clearly signaled. | 3 / 3 |
Total | 12 / 12 Passed |
Validation
100%Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.
Validation — 11 / 11 Passed
Validation for skill structure
No warnings or errors.
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Table of Contents
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