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ai-search-hub

Run the AI Search Hub browser automation scripts for Yuanbao, LongCat, Doubao, Qwen, Gemini, Grok, and MiniMax. Use this skill when the user wants to ask one of those sites a prompt, auto-start or attach to a Chrome DevTools session on port 9222, seed an isolated debug browser profile from the user's local browser data, detect whether login is required, wait for the user to finish logging in if needed, and then continue automatically.

72

Quality

88%

Does it follow best practices?

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SecuritybySnyk

Low

Low-risk findings worth noting

SKILL.md
Quality
Evals
Security

Quality

Content

77%Weight 40%Scale 1-3

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

The body is highly actionable with a concrete runner command and a well-sequenced workflow that includes a login-recovery feedback loop, but it could be tightened and its two signaled reference files (INSTALL.md, ROUTING.md) are missing from the bundle.

Suggestions

Add the missing INSTALL.md and ROUTING.md to the bundle (or remove the 'See ...' references) so the signaled progressive-disclosure navigation resolves to real files.

Tighten the 'Workflow' prose steps and de-duplicate the 'When To Use' list against the frontmatter description to reduce token cost.

Add an explicit 'verify a usable reply was received' checkpoint after the send step so the workflow's validation loop covers reply quality, not only login state.

DimensionReasoningScore

Conciseness

Mostly efficient and free of concept-explanation padding, but the prose 'Workflow' steps (e.g. 'opening the requested site directly instead of leaving a separate about:blank startup tab behind') and the 'When To Use' list overlap with the description and could be tightened.

2 / 3

Actionability

Provides a fully executable command — 'python3 scripts/run_web_chat.py --site doubao --prompt "..."' — plus a concrete enumerated argument list with valid values and file paths, copy-paste ready.

3 / 3

Workflow Clarity

The 8-step Workflow is clearly sequenced and includes an explicit error-recovery feedback loop: 'If the site requires login ... waits until login completes, then continues automatically', which is a validation checkpoint.

3 / 3

Progressive Disclosure

The body is well-sectioned and clearly signals references ('See INSTALL.md', 'See ROUTING.md'), but neither INSTALL.md nor ROUTING.md exists in the bundle, so the signaled navigation targets are broken.

2 / 3

Total

10

/

12

Passed

Description

100%Weight 40%Scale 1-3

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, trigger-rich, and clearly distinguishes the skill's niche by naming concrete sites and concrete automation behaviors. It uses third-person voice and explicitly answers both what and when, though it is verbose for a description field.

DimensionReasoningScore

Specificity

Lists multiple concrete actions — 'run ... scripts', 'ask one of those sites a prompt', 'auto-start or attach to a Chrome DevTools session on port 9222', 'seed an isolated debug browser profile', 'detect whether login is required', 'wait for the user to finish logging in ... then continue automatically'.

3 / 3

Completeness

It answers both 'what' (run browser automation scripts with the listed automation steps) and 'when' via an explicit 'Use this skill when the user wants to ask one of those sites a prompt' trigger clause.

3 / 3

Trigger Term Quality

The clause 'when the user wants to ask one of those sites a prompt' plus the named sites (Yuanbao, LongCat, Doubao, Qwen, Gemini, Grok, MiniMax) are natural terms a user would actually say, giving good trigger coverage.

3 / 3

Distinctiveness Conflict Risk

The named AI-search-site niche is clearly delimited and unlikely to fire for unrelated skills; the specific site list makes conflicts with other skills very unlikely.

3 / 3

Total

12

/

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
minsight-ai-info/AI-Search-Hub
Reviewed

Table of Contents

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