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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.

65

Quality

82%

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SecuritybySnyk

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

SKILL.md
Quality
Evals
Security

Quality

Content

71%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.

A well-structured, lean command skill with a concrete invocation, sensible interactive fallback, and an explicit error checkpoint for the optional baseline step. Its main defects are that the referenced bundle scripts (hub_init.py, result_ranker.py) are missing from the actual bundle, leaving the primary workflow unresolvable, and a few underspecified details such as how to extract the metric from eval output.

Suggestions

Include the referenced scripts (scripts/hub_init.py, and result_ranker.py or a pointer to where it lives) in the bundle, or remove/inline the instructions if the bundle is meant to be a standalone SKILL.md.

Specify how to extract the metric from eval stdout (e.g., expected output format or a concrete jq/python one-liner) in the Baseline Capture section, including the exact YAML line format for appending baseline: {value}.

Merge the "After Init" section into the Output examples to remove the duplicated next-step and baseline recap, and trim one of the two near-identical output blocks.

DimensionReasoningScore

Conciseness

The body is efficient — parameter lists, a concrete bash command, and compact examples with no padding or explanation of concepts Claude already knows. It falls short of lean/5 because of redundancy: the "After Init" section largely restates the "Next step" and baseline lines already shown in the Output blocks, and two full output examples repeat the same structure for the two modes.

4 / 5

Actionability

The core path is executable — "python {skill_path}/scripts/hub_init.py --task \"{task}\" --agents {N} [--eval ...] [--direction ...]" with a specific interactive parameter checklist including defaults (agent count 3, current branch). Minor gaps keep it from 5: "Extract the metric value from stdout" gives no format or extraction method for the metric, and the append of "baseline: {value}" to config.yaml lacks an exact line format.

4 / 5

Workflow Clarity

The sequence is clear and ordered: run the init script (or collect parameters interactively), then "Baseline Capture" with numbered steps, then tell the user the next step — and the baseline step includes an explicit error checkpoint ("If the eval command fails at this stage, warn the user but continue — baseline is optional"). Not a 5 because there are no validation checkpoints after session creation (e.g., verifying config.yaml was written) before telling the user init succeeded.

4 / 5

Progressive Disclosure

The body is well-sectioned and its references are clearly signaled and only one level deep ("{skill_path}/scripts/hub_init.py", "result_ranker.py --baseline"), which alone would suggest 4–5. However, scored against the actual bundle structure, no scripts/ directory exists and neither referenced script is present, so the navigation leads nowhere — a larger defect than the "minor organization gaps" of the 4 anchor and closer to the 3 anchor where references fail to deliver.

3 / 5

Total

15

/

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.

A strong description: third-person voice, concrete parameters, and an explicit "Use when..." clause with genuine trigger phrases. It clearly communicates both what the skill does and when to invoke it, with only minor room to broaden natural-language synonyms.

DimensionReasoningScore

Specificity

"Create a new AgentHub collaboration session with task, agent count, and evaluation criteria" lists several concrete parameters of the action, matching the anchor for several specific actions with minor gaps in coverage. It stops short of a 5 because it describes one action (session creation) with its parameters rather than a comprehensive set of distinct concrete actions.

4 / 5

Completeness

The description explicitly answers both questions: the "what" is "Create a new AgentHub collaboration session with task, agent count, and evaluation criteria" and the "when" is the explicit clause "Use when the user runs /hub:hub-init or asks to start a multi-agent competition on a task" with concrete trigger phrases. This matches the top anchor exactly, and is clearly not the level below where the "when" would be weakly implied.

5 / 5

Trigger Term Quality

"Use when the user runs /hub:hub-init or asks to start a multi-agent competition on a task" includes a natural command trigger and a plain-language phrase users would actually say, giving good keyword coverage. A few natural variations (e.g., "agent competition", "spawn agents", "parallel agents") are missing, so it is not the comprehensive coverage of synonyms required for a 5.

4 / 5

Distinctiveness Conflict Risk

The niche is distinct: "AgentHub collaboration session" and the "/hub:hub-init" command are unique identifiers, and the trigger is pinned to that command and to starting a multi-agent competition, so it is unlikely to fire for unrelated skills. It fits the clear-niche/minimal-conflict anchor, not the level below where overlap with closely related skills would exist.

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.

Validation — 15 / 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

Path

.gemini/skills/hub-init/SKILL.md

Reviewed

Table of Contents

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