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agent-safla-neural

Agent skill for safla-neural - invoke with $agent-safla-neural

48

3.03x
Quality

Does it follow best practices?

Impact

100%

3.03x

Average score across 3 eval scenarios

SecuritybySnyk

Passed

No known issues

SKILL.md
Quality
Evals
Security

Quality

Content

37%

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

The body reads like a system-prompt role definition padded with buzzword capabilities and pseudo-syntax MCP examples, lacking any real executable workflow with validation steps; it is organized into sections but offers no progressive disclosure to supporting files.

Suggestions

Convert the role-play preamble and buzzword capability list into lean, action-oriented instructions and drop unverifiable numeric claims ('172,000+ ops/sec', '60% compression') to improve conciseness.

Replace the illustrative MCP pseudo-syntax with complete, executable examples using defined inputs, or explicitly justify why pseudocode is used.

Add a clearly sequenced workflow (initialize -> train -> persist -> validate/retrieve) with explicit validation checkpoints for the memory-persistence operations.

DimensionReasoningScore

Conciseness

The body is padded with role-play prose ('You are a SAFLA Neural Specialist, an expert in...') and buzzword claims ('quantum neural patterns', '172,000+ operations per second') that Claude does not need, but it retains some useful structured content (the four-tier memory model), placing it at the mostly-efficient-but-could-be-tightened score-2 anchor rather than the fully lean level 3 or the purely padded level 1.

2 / 3

Actionability

The MCP snippets ('mcp__claude-flow__neural_train { ... }') are illustrative pseudo-syntax referencing undefined variables rather than executable code, and the capability list describes ('Design and implement...') instead of instructing, matching the score-2 anchor of incomplete/pseudocode guidance; it is not level 3 because nothing is copy-paste runnable.

2 / 3

Workflow Clarity

No sequenced multi-step process with validation checkpoints is given — the two MCP snippets are unrelated examples, not a workflow — matching the score-1 anchor of missing sequence for a complex task; it does not reach level 2 because there is no ordered step list at all.

1 / 3

Progressive Disclosure

Content is a single inline monolith organized into a few sections with no external file references and no navigation signaling, matching the score-2 anchor of some structure but monolithic/inline content that could be split; it is not level 3 because nothing is split into one-level-deep references, and not level 1 because sections do provide some organization.

2 / 3

Total

7

/

12

Passed

Description

0%

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

The frontmatter description is a placeholder-style line that conveys no concrete capability, no natural trigger terms, and no usage guidance, making it indistinguishable from a generic agent-skill template.

Suggestions

Replace the description with concrete actions the skill performs, e.g. 'Orchestrates SAFLA distributed neural training and persists cross-session memory patterns via claude-flow MCP.'

Add an explicit 'Use when...' clause stating when Claude should invoke this skill, e.g. 'Use when the user asks to train, persist, or recall SAFLA neural/memory patterns.'

Drop the invocation syntax ('- invoke with $agent-safla-neural') from the description and use third-person voice with natural user-facing trigger terms.

DimensionReasoningScore

Specificity

The description 'Agent skill for safla-neural - invoke with $agent-safla-neural' names no concrete actions at all, matching the vague/abstract score-1 anchor like 'Helps with documents'; it is not the level above because it lacks any named domain action like 'Processes PDF files'.

1 / 3

Completeness

It states neither what the skill concretely does (only 'agent skill') nor any 'Use when...' trigger, so both what and when are very weak, matching the score-1 anchor; it cannot be level 2 because even the 'what' is effectively missing.

1 / 3

Trigger Term Quality

The only terms are 'safla-neural' and the invocation syntax '$agent-safla-neural' — technical invocation jargon rather than natural keywords a user would say, matching the score-1 anchor; it does not reach level 2 which requires at least some relevant user-facing keywords.

1 / 3

Distinctiveness Conflict Risk

'Agent skill for safla-neural' is a generic template phrase with no distinct trigger, so it would overlap with many other agent skills, matching the score-1 'very generic; would conflict with many skills' anchor.

1 / 3

Total

4

/

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
ruvnet/claude-flow
Reviewed

Table of Contents

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