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langbot-space-ops

Browse and search the LangBot Space marketplaces (plugins, MCP servers, skills) through the Space MCP server. Use when an AI agent needs to discover LangBot extensions on space.langbot.app over MCP. Covers the /mcp endpoint, Personal Access Token (PAT) auth, the tool surface, and client configuration. Triggers on "langbot space mcp", "search langbot plugins", "langbot marketplace mcp", "space.langbot.app mcp".

70

Quality

88%

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SecuritybySnyk

Low

Low-risk findings worth noting

SKILL.md
Quality
Evals
Security

Quality

Content

82%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 highly actionable with copy-paste-ready configuration and a clear usage sequence, and it stays lean with no over-explanation of known concepts. Its only weaknesses are a developer-oriented section that inflates token cost and minor validation/explicit-checkpoint gaps.

DimensionReasoningScore

Conciseness

The body is dense and rule-carrying with no padding of concepts Claude already knows, but the "Implementation & maintenance (for Space developers)" section serves repo maintainers rather than the skill's agent audience and could be trimmed or relocated.

4 / 5

Actionability

Fully executable guidance: exact endpoint URLs, the Bearer PAT header, a copy-paste-ready client configuration JSON, concrete tool names, a complete search_plugins request body, and a browsable filter URL — all covering the common cases.

5 / 5

Workflow Clarity

"How to use" gives a clear 4-step sequence (create PAT → configure client → search/get → select_models) with the 401 note and the empty-results guard acting as checkpoints, but explicit verify/retry steps are not spelled out.

4 / 5

Progressive Disclosure

A single-file skill with no bundle files, well organized under clear section headers; the inlined developer-maintenance section is a minor organization gap, and references like docs/MCP_SERVER.md are repo-internal pointers rather than one-level-deep skill references.

4 / 5

Total

17

/

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: concrete capabilities, an explicit use-when clause with natural trigger phrases, and a distinct niche. The only weakness is minor coverage gaps (model ranking is not mentioned) and a few missing natural trigger variations.

DimensionReasoningScore

Specificity

"Browse and search the LangBot Space marketplaces (plugins, MCP servers, skills)" lists concrete actions and the covered surface (endpoint, PAT auth, tool surface, client configuration), but omits capabilities like model ranking/select_models, so coverage has minor gaps rather than being comprehensive.

4 / 5

Completeness

Explicitly answers both "what" ("Browse and search the LangBot Space marketplaces...") and "when" ("Use when an AI agent needs to discover LangBot extensions on space.langbot.app over MCP"), backed by concrete trigger phrases.

5 / 5

Trigger Term Quality

Triggers on "langbot space mcp", "search langbot plugins", "langbot marketplace mcp", "space.langbot.app mcp" — natural phrases for this niche — but common variations like "LangBot skills" or "LangBot extensions" are missing.

4 / 5

Distinctiveness Conflict Risk

A clear niche with distinct triggers: the product-specific name (LangBot Space) and URL (space.langbot.app) make accidental triggering of a different skill very unlikely.

5 / 5

Total

18

/

20

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.

Validation — 16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository
langbot-app/LangBot
Reviewed

Table of Contents

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