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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

68

1.88x
Quality

51%

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%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.

The body is rich with executable commands and code, making it broadly actionable, but it is significantly over-long and verbose with redundancy and padded sections, lacks validation checkpoints in its batch workflows, and keeps API reference material inline rather than in bundle files. Tightening length, adding validate/retry loops, and splitting the API reference out would lift the weaker dimensions.

Suggestions

Cut redundancy and concept explanations Claude already knows (deduplicate the consensus-algorithm listings; remove explanations of LRU/WAL/Byzantine; drop comment-only sections like Neural Pattern Training).

Add explicit validation/verification checkpoints to the spawn and consensus workflows (e.g. check `hive-mind status`/`metrics` after spawning and only proceed when healthy; retry consensus on failure).

Move the API Reference (HiveMindCore, CollectiveMemory, HiveMindSessionManager) and detailed config blocks into separate reference files under references/ and link to them from a concise overview.

DimensionReasoningScore

Conciseness

At ~700 lines the body is noticeably verbose: consensus algorithms are listed twice (Core Concepts and Consensus Building), concepts Claude already knows are explained (Byzantine fault tolerance, LRU cache, WAL mode), and sections like 'Neural Pattern Training' and 'Slow Task Assignment' are comment-only padding with no real content.

2 / 5

Actionability

Most guidance is concrete and copy-paste ready — numerous `npx claude-flow hive-mind ...` commands and JS snippets — but a few examples are non-executable (the `createTask('...', priority: 8, {...})` call is invalid JS, and some blocks are only comments), leaving minor gaps below a 5.

4 / 5

Workflow Clarity

Getting Started provides a clear init→spawn→monitor sequence, but the batch/destructive operations (spawning swarms, consensus voting) lack explicit validation checkpoints or validate→fix→retry feedback loops, so per the rubric cap workflow clarity is held at 3.

3 / 5

Progressive Disclosure

The document has good section headers but is a monolithic 700+ line file with no bundle files in references/scripts/assets; the inline API Reference (HiveMindCore, CollectiveMemory, HiveMindSessionManager) and config blocks are content that should be split into separate referenced files, fitting 'some structure but content that should be separate is inline'.

3 / 5

Total

12

/

20

Passed

Description

53%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.

The description is specific to a niche domain and mostly distinct from other skills, but it omits any explicit 'when to use' trigger guidance and lacks natural trigger-term synonyms, capping completeness and trigger quality at the midpoint. Rewording it to lead with concrete actions and a 'Use when...' clause would raise both.

Suggestions

Add an explicit 'Use when...' clause with concrete triggers, e.g. 'Use when coordinating multiple agents on a shared objective, building swarms, or when the user mentions hive mind, swarm, or multi-agent coordination'.

Lead with concrete verbs/actions ('Spawn, coordinate, and consensus-vote across worker agents...') instead of noun-phrase feature listing.

Include natural synonyms users say ('swarm', 'agent team', 'multi-agent') alongside 'Hive Mind' to broaden trigger coverage.

DimensionReasoningScore

Specificity

The description names the domain and several concrete capability areas ('queen-led multi-agent coordination', 'consensus mechanisms', 'persistent memory'), but these are noun-phrase features rather than concrete actions/verbs, so it sits at the 'names domain with limited actions' level.

3 / 5

Completeness

It clearly states what the skill is ('Advanced Hive Mind collective intelligence system for... coordination with consensus mechanisms and persistent memory') but provides no 'Use when...' clause or equivalent trigger guidance, so per the rubric cap 'when' is missing and completeness cannot exceed 3.

3 / 5

Trigger Term Quality

It includes relevant keywords ('Hive Mind', 'multi-agent coordination', 'consensus', 'collective intelligence') but misses natural variations and synonyms a user might say ('swarm', 'agent team', 'distributed agents'), placing it at 'some relevant keywords but missing common variations'.

3 / 5

Distinctiveness Conflict Risk

'Hive Mind' queen-led architecture with Byzantine consensus is a fairly distinct niche with minimal conflict risk, though the body lists closely related skills (swarm-orchestration, consensus-mechanisms, memory-systems) indicating minor overlap, fitting 'mostly distinct; minor overlap risk'.

4 / 5

Total

13

/

20

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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