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memory-merger

Reviews mature LESSONS-LEARNED.md entries, rewrites them as permanent rules in skill/instruction files, archives graduated lessons. Use when graduating lessons into skills, promoting validated lessons, updating skills from past learnings, archiving mature lessons, codifying repeated patterns, or cleaning up a crowded LESSONS-LEARNED.md.

76

Quality

95%

Does it follow best practices?

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Adds up to 20 points to the overall score

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SecuritybySnyk

Passed

No findings from the security scan

SKILL.md
Quality
Evals
Security

Quality

Content

90%Weight 40%Scale 1-5

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

A well-structured, actionable skill body with concrete templates and executable commands, clear sequencing, and validation checkpoints. The main gap is an explicit validate-fix-retry feedback loop for the batch/destructive merge operations.

Suggestions

Add an explicit "If a quality gate fails: fix the target file and re-run validation before proceeding" feedback loop after the Quality Gates checklist to strengthen workflow clarity for batch/destructive merges.

Interleave the Quality Gates as checkpoints after the relevant workflow steps (e.g., verify no duplicate rules right after step 4) rather than only at the end.

Clarify how the two shell scan commands feed into step 1 (e.g., note that their output is the candidate list) so the automation ties explicitly into the workflow.

DimensionReasoningScore

Conciseness

Lean tables, numbered lists, and tight code blocks with no padding or explanation of concepts Claude already knows; every section earns its place.

5 / 5

Actionability

Provides concrete edit templates, attribution comment format, archive markdown format, and copy-paste-ready shell commands (rg/awk) — fully executable guidance.

5 / 5

Workflow Clarity

Six-step numbered sequence with a Quality Gates validation checklist and step 6 "run validation checks"; not a full 5 because the validate-fix-retry feedback loop is implicit rather than an explicit retry loop.

4 / 5

Progressive Disclosure

Self-contained single file with clearly organized sections (Run Criteria, Workflow, Merge Protocol, Quality Gates, Anti-Patterns) and no nested references; just over the 50-line simple-skill threshold so not a 5.

4 / 5

Total

18

/

20

Passed

Description

100%Weight 40%Scale 1-5

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

A strong description: third-person voice, concrete actions, explicit "Use when" triggers with synonyms, and a distinct niche. No ambiguity about what the skill does or when it applies.

DimensionReasoningScore

Specificity

Lists multiple concrete actions — "Reviews mature LESSONS-LEARNED.md entries, rewrites them as permanent rules in skill/instruction files, archives graduated lessons" — matching the comprehensive-coverage anchor.

5 / 5

Completeness

Explicitly answers both what (reviews, rewrites, archives) and when ("Use when graduating lessons into skills..."), with concrete trigger phrases; the "Use when..." clause is present and specific.

5 / 5

Trigger Term Quality

Natural trigger phrases a user would say — "graduating lessons into skills", "promoting validated lessons", "archiving mature lessons", "codifying repeated patterns", "cleaning up a crowded LESSONS-LEARNED.md" — with synonym coverage.

5 / 5

Distinctiveness Conflict Risk

Clear niche (LESSONS-LEARNED graduation into skill files) with distinct triggers; minimal overlap risk with other skills.

5 / 5

Total

20

/

20

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.

Validation16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository
monkilabs/opencastle
Reviewed

Table of Contents

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