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mlava/agent-ready-mcp

Install and use the Agent Ready (agent-ready.dev) MCP server to scan any URL for AI agent-readability via MCP tool calls. Activates for "install agent-ready mcp", "set up agent-ready in Claude Desktop / Cursor / Cline / Goose / Continue", "add agent-ready as an MCP tool", "scan this site via agent-ready", "run scan_site / get_scan / ask via MCP". Pick this skill when the user wants tool-native access to Agent Ready — no curl, no fetch wiring. For direct REST access without MCP, use the `agent-ready-api` skill instead.

70

Quality

88%

Does it follow best practices?

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Adds up to 20 points to the overall score

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SecuritybySnyk

Low

Low-risk findings worth noting

Overview
Quality
Evals
Security
Files

Quality

Content

78%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, actionable MCP skill body with clear sequencing and strong error/security guidance. Its main weakness is progressive disclosure: the body points to CLIENT_CONFIGS.md and REFERENCE.md, but those bundle files are not present.

Suggestions

Ship the referenced CLIENT_CONFIGS.md and REFERENCE.md files (or remove the links and inline the essential content) so the documented navigation is not broken.

Add one example MCP tool invocation (e.g. a scan_site call with url and pageLimit arguments) to make the tool-use phase fully copy-paste ready.

Turn the Step 2 restart check into an explicit validation checkpoint ("After restart, confirm the three tools are advertised before proceeding").

DimensionReasoningScore

Conciseness

Lean, table-driven body that assumes Claude's competence; every section (tool selection, error recovery, security) carries operational detail rather than padding or explanations of concepts Claude already knows.

5 / 5

Actionability

Provides copy-paste-ready JSON config, exact macOS/Windows paths, and concrete error-code recovery actions; minor gap is the absence of an example MCP tool invocation call showing argument shape.

4 / 5

Workflow Clarity

A clear 6-step sequence with an explicit guardrail ("Do not loop get_scan automatically") and a dedicated errors-and-recovery section; the post-restart tool verification ("should advertise three tools") is implied rather than an explicit validation checkpoint.

4 / 5

Progressive Disclosure

References to CLIENT_CONFIGS.md and REFERENCE.md are clearly signaled and one level deep, but neither file exists in the bundle, so the documented navigation is broken.

3 / 5

Total

16

/

20

Passed

Description

95%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, third-person description that crisply states what the skill does, when to pick it, and how it differs from a sibling skill. Trigger coverage is broad and natural, and the boundary guidance is explicit.

DimensionReasoningScore

Specificity

Names the domain and several concrete actions ("Install and use", "scan any URL for AI agent-readability via MCP tool calls", "scan_site / get_scan / ask"), with only minor coverage gaps around the separate install vs. use phases.

4 / 5

Completeness

Explicitly answers both what (install/use the MCP server to scan URLs) and when ("Activates for ...", "Pick this skill when ...") with concrete trigger phrases.

5 / 5

Trigger Term Quality

Comprehensive natural triggers including synonyms and client names ("install agent-ready mcp", "set up agent-ready in Claude Desktop / Cursor / Cline / Goose / Continue", "scan this site via agent-ready", "run scan_site / get_scan / ask via MCP").

5 / 5

Distinctiveness Conflict Risk

Clear niche (tool-native MCP access, "no curl, no fetch wiring") with explicit boundary guidance routing REST users to the `agent-ready-api` skill, minimizing conflict risk.

5 / 5

Total

19

/

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

relative_links

Relative link issues: 4 missing

Warning

Total

15

/

16

Passed

Reviewed

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