CtrlK
BlogDocsLog inGet started
Tessl Logo

hub-init

Create a new AgentHub collaboration session with task, agent count, and evaluation criteria. Use when the user runs /hub:hub-init or asks to start a multi-agent competition on a task.

67

Quality

81%

Does it follow best practices?

Run evals on this skill

Adds up to 20 points to the overall score

View guide

SecuritybySnyk

Passed

No findings from the security scan

The canonical home for this skill is hub-init in alirezarezvani/claude-skills

SKILL.md
Quality
Evals
Security

Quality

Content

75%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 well-structured, actionable, and concise, with a clear init workflow and a useful baseline-capture feedback note. It scores solidly across dimensions, with small room to tighten output examples and add explicit verification checkpoints.

Suggestions

Condense the two full 'Output' example blocks into one compact example plus a short note describing the LLM-judge-mode variant, to improve token efficiency.

Add an explicit verification step after session creation (e.g., confirm .agenthub/sessions/{session-id}/config.yaml exists before capturing the baseline) to strengthen workflow checkpoints.

Provide a one-line concrete example of the interactive prompt flow so the no-arguments branch is as executable as the arguments branch.

DimensionReasoningScore

Conciseness

The body is lean and assumes Claude's competence (no padding about what multi-agent means), but the two full output example blocks and a few slightly redundant lines could be trimmed, so it is efficient rather than maximally lean.

4 / 5

Actionability

Provides a concrete, copy-paste-style bash command with parameter placeholders and numbered baseline steps; the interactive-mode branch ('Collect each parameter') is comparatively high-level, leaving a minor gap below the fully executable score-5 anchor.

4 / 5

Workflow Clarity

There is a clear sequence (args vs interactive init, then baseline capture, then 'After Init' next-step guidance) with a failure-handling note for eval, but explicit verification that the session/config was created is only implicit, keeping it below the score-5 checkpoint anchor.

4 / 5

Progressive Disclosure

Content is well organized into clearly signaled sections (Usage, What It Does, Output, Baseline Capture, After Init) with a one-level-deep script reference ({skill_path}/scripts/hub_init.py); no bundle files are present to verify, and the structure is good but not maximally split.

4 / 5

Total

16

/

20

Passed

Description

87%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 clearly states what the skill does and when to invoke it, with concrete trigger phrases and a distinct command-based entry point. It is strong on completeness and distinctiveness, with only minor room to broaden trigger-term synonyms.

DimensionReasoningScore

Specificity

Names the domain ('AgentHub collaboration session') and several concrete configuration actions ('task, agent count, and evaluation criteria'), but it is essentially one main action parameterized rather than a comprehensive list of distinct operations, so it sits below the score-5 anchor.

4 / 5

Completeness

Explicitly answers both 'what' ('Create a new AgentHub collaboration session with task, agent count, and evaluation criteria') and 'when' ('Use when the user runs /hub:hub-init or asks to start a multi-agent competition on a task') with concrete trigger phrases, matching the score-5 anchor.

5 / 5

Trigger Term Quality

Includes natural trigger phrases users would say ('asks to start a multi-agent competition on a task') plus the explicit slash command '/hub:hub-init', giving good coverage; a few synonymous phrasings (e.g., 'compare agents', 'benchmark agents') are missing, keeping it below 5.

4 / 5

Distinctiveness Conflict Risk

The 'AgentHub' niche plus the dedicated '/hub:hub-init' command and 'multi-agent competition' trigger give a clear, distinct entry point with minimal overlap risk against other skills.

5 / 5

Total

18

/

20

Passed

Validation

93%

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

Validation15 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

frontmatter_unknown_keys

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

Warning

Total

15

/

16

Passed

Repository
alirezarezvani/claude-skills
Reviewed

Table of Contents

Is this your skill?

If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.