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hive-mind-advanced

Advanced Hive Mind collective intelligence system for queen-led multi-agent coordination with consensus mechanisms and persistent memory

66

1.88x
Quality

50%

Does it follow best practices?

Impact

100%

1.88x

Average score across 3 eval scenarios

SecuritybySnyk

Low

Low-risk findings worth noting

Fix and improve this skill with Tessl

tessl review fix ./bundled/skills/hive-mind-advanced/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

50%

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

The skill body is thorough and mostly actionable with strong command coverage, but it is overlong and redundant, mixes monolithic reference material inline, and lacks validation checkpoints for its batch multi-agent operations. Tightening and splitting would substantially improve it.

Suggestions

De-duplicate the consensus-mechanism explanations (currently repeated across four sections) and remove comment-only placeholder code blocks to improve conciseness.

Add explicit validation/feedback-loop steps to the swarm-spawn and consensus workflows (e.g., check `hive-mind status`/`metrics` after spawn, retry on no-consensus) to lift workflow clarity.

Move the API Reference, Advanced Topics, and Troubleshooting sections into local reference files (e.g., REFERENCE.md, ADVANCED.md) linked from a concise overview to achieve one-level-deep progressive disclosure.

DimensionReasoningScore

Conciseness

The body is legitimate Claude-Flow-specific domain content rather than generic concepts, but at ~700 lines it repeats the same material (consensus algorithms described in Core Concepts, Advanced Workflows, Consensus Algorithms, and Best Practices) and could be tightened considerably.

2 / 3

Actionability

There are many copy-paste-ready `npx claude-flow hive-mind` commands and JS snippets, but several blocks are comment-only placeholders (Neural Pattern Training, Performance Insights, Slow Task Assignment) and `createTask(... priority: 8, {...})` has a syntax error, so not all examples are fully executable.

2 / 3

Workflow Clarity

Getting Started and Skill Progression provide a clear sequence, but for batch/risky operations like spawning swarms there are no explicit validation checkpoints or feedback loops (validate -> fix -> retry), which the rubric requires for a 3.

2 / 3

Progressive Disclosure

Sections are well organized, but the file is a monolithic 700-line document with the API reference, advanced topics, and troubleshooting all inline; no bundle files exist and the only references are external GitHub URLs, so content that should be split is not.

2 / 3

Total

8

/

12

Passed

Description

50%

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 description conveys a clear domain and key capabilities in proper third person, but it stops at describing the system rather than giving concrete actions or an explicit use-when trigger. It is competent but generic enough to risk overlap with related coordination skills.

Suggestions

Add an explicit "Use when..." trigger clause naming natural user phrases (e.g., coordinating many agents, swarm orchestration, reaching consensus across agents) to lift completeness and trigger-term quality.

Replace abstract nouns with concrete verbs/actions (e.g., spawn queen-led swarms, build consensus votes, persist shared agent memory) to reach the specificity score-3 anchor.

Add a distinguishing cue (e.g., "for Claude Flow hive-mind workflows") so it does not conflict with basic swarm-orchestration.

DimensionReasoningScore

Specificity

The description names a concrete domain ("queen-led multi-agent coordination") and capabilities ("consensus mechanisms and persistent memory"), but it is noun-heavy and describes the system rather than listing multiple specific concrete actions, so it does not reach the score-3 anchor of enumerated actions.

2 / 3

Completeness

It clearly states what the system does but provides no "when" trigger guidance; per the judging guidelines a missing "Use when..." clause caps completeness at 2.

2 / 3

Trigger Term Quality

Terms like "Hive Mind", "multi-agent coordination", and "consensus" are relevant, but the phrasing is jargon-dense ("queen-led", "Byzantine", "collective intelligence") with no natural "Use when..." trigger, so it matches the anchor of some relevant keywords but missing common variations.

2 / 3

Distinctiveness Conflict Risk

The Hive Mind / queen-led niche is fairly specific, but "multi-agent coordination" overlaps with sibling skills such as swarm-orchestration and there are no distinct triggers to prevent misfiring.

2 / 3

Total

8

/

12

Passed

Validation

87%

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation14 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

skill_md_line_count

SKILL.md is long (713 lines); consider splitting into references/ and linking

Warning

frontmatter_unknown_keys

Unknown frontmatter key(s) found; consider removing or moving to metadata

Warning

Total

14

/

16

Passed

Repository
foryourhealth111-pixel/Vibe-Skills
Reviewed

Table of Contents

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