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reflect

Review recent work, find repeated workflow patterns, and suggest reusable skills, agents, commands, config changes, or playbooks. Use when the user asks to learn from past sessions, improve recurring workflows, or identify what should be turned into reusable agent instructions.

75

Quality

92%

Does it follow best practices?

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SecuritybySnyk

Low

Low-risk findings worth noting

SKILL.md
Quality
Evals
Security

Quality

Content

85%

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 instruction skill with clear sequencing, explicit checkpoints, and copy-paste-ready examples. Its only weakness is length: several detailed sections could be trimmed to improve token efficiency.

Suggestions

Tighten the Session Mode subsections (Confidence scoring, Storage and Caching, Aggregation) into shorter bullets or move them to a reference file to reduce token load.

Consider merging the two near-duplicate output templates (Session Reflection Report and the main Output Format) into one parameterized example to avoid redundancy.

Condense the Evidence Sources list and Core Contract bullets, which partly restate the Guardrails section, into a single concise section.

DimensionReasoningScore

Conciseness

Mostly efficient with actionable structure and minimal concept re-explanation, but the body is long (~320 lines) with sections like Confidence scoring, Storage/Caching, and Aggregation that could be tightened; not lean enough for the top anchor.

2 / 3

Actionability

Provides copy-paste-ready executable bash/SQLite queries, a concrete JSON summary schema, scoring criteria, and explicit output templates rather than vague direction.

3 / 3

Workflow Clarity

The main workflow is clearly sequenced (Inventory -> Find patterns -> Score -> Choose form -> Propose) with a "Propose Before Changing" checkpoint and explicit error-handling/recovery steps for session mode.

3 / 3

Progressive Disclosure

No bundle files are provided and none are needed; the single self-contained file is well-organized into clearly headed sections, which per the simple-skill scoring note warrants the top score.

3 / 3

Total

11

/

12

Passed

Description

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.

A strong, concise description that states concrete capabilities, explicit use-when triggers in natural language, and a distinctive niche. It uses proper third-person voice and avoids fluff.

DimensionReasoningScore

Specificity

Lists multiple concrete actions ("Review recent work, find repeated workflow patterns, and suggest") plus an enumerated set of asset types (skills, agents, commands, config changes, or playbooks), matching the anchor for listing multiple specific concrete actions.

3 / 3

Completeness

Explicitly answers both what ("Review... suggest reusable...") and when ("Use when the user asks to...") with concrete trigger guidance, satisfying the top anchor.

3 / 3

Trigger Term Quality

Natural user phrasings like "learn from past sessions", "improve recurring workflows", and "identify what should be turned into reusable agent instructions" are terms a user would actually say; not merely a 2 because coverage goes beyond a single keyword.

3 / 3

Distinctiveness Conflict Risk

Occupies a clear niche (synthesizing reusable agent assets from past-session evidence) with distinct triggers and third-person voice, making it unlikely to fire for unrelated implementation skills.

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.

Validation16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository
alvinunreal/oh-my-opencode-slim
Reviewed

Table of Contents

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