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langbot-mcp-ops

Operate a LangBot instance through its built-in MCP (Model Context Protocol) server. Use when an AI agent needs to manage LangBot — list/create/update/delete bots, pipelines, models, knowledge bases, MCP servers, and skills — over MCP instead of raw HTTP. Covers the /mcp endpoint, API-key auth (web-UI lbk_ keys and the config.yaml global key), the tool surface, and client configuration. Triggers on "langbot mcp", "manage langbot via mcp", "langbot /mcp", "langbot mcp server".

68

Quality

83%

Does it follow best practices?

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SecuritybySnyk

Passed

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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 workflow-aware with validation and destructive-op safeguards, scoring solidly across all dimensions. The main gaps are mild verbosity in two prose sections and the absence of a concrete mutating-tool example body.

Suggestions

Tighten the ChatGPT/Codex subscription and Provider deletion sections to the essential rules, moving extended rationale to the already-referenced CODEX_SUBSCRIPTION.md.

Add one concrete example MCP tool request/response body (e.g. a create_pipeline call) to lift actionability to the top anchor.

Formalize error recovery into a short validate/fix/retry loop (e.g. on 403, check scopes via GET /api/v1/system/context then retry) rather than prose pitfalls.

DimensionReasoningScore

Conciseness

Largely efficient and assumes Claude's competence, but the ChatGPT/Codex subscription and Provider deletion prose sections are somewhat padded and could be tightened.

4 / 5

Actionability

Provides executable specifics (exact endpoint, auth headers, JSON client config, tool table, exact DELETE route, scope requirements), but lacks a concrete example request body for a mutating tool.

4 / 5

Workflow Clarity

Clear 4-step How-to-use sequence with an explicit connectivity validation checkpoint and 401/403 error guidance, plus destructive-op warnings; falls short of a full validate-fix-retry feedback loop.

4 / 5

Progressive Disclosure

Well-organized sections with clearly signaled one-level-deep references to external docs/source paths; some detailed prose is fully inlined rather than split into referenced files.

4 / 5

Total

16

/

20

Passed

Description

92%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 is specific, well-triggered, and complete, clearly delineating a niche LangBot-MCP operation skill with concrete actions and explicit trigger phrases. It only slightly trails the top anchor on trigger-term exhaustiveness.

DimensionReasoningScore

Specificity

Lists multiple concrete actions ("list/create/update/delete bots, pipelines, models, knowledge bases, MCP servers, and skills") with comprehensive coverage of the management surface.

5 / 5

Completeness

Explicitly answers both what (operate/manage LangBot over its MCP server) and when ("Use when an AI agent needs to manage LangBot ... over MCP instead of raw HTTP") with concrete trigger phrases.

5 / 5

Trigger Term Quality

Provides good natural-term coverage via explicit "Triggers on" phrases ("langbot mcp", "manage langbot via mcp", "langbot /mcp", "langbot mcp server"), but a few common user phrasings are absent.

4 / 5

Distinctiveness Conflict Risk

Targets a clear niche (the LangBot MCP server at /mcp) with distinct, product-specific triggers and minimal overlap risk with other skills.

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: 1 suspicious

Warning

Total

15

/

16

Passed

Repository
langbot-app/LangBot
Reviewed

Table of Contents

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