FastRoute is an MCP server that recommends relevant skills from locally installed skills when an agent receives a new task. It provides tools to retrieve top-N skill recommendations and incrementally rebuild the skill index.
Caution. Specific findings reduced this grade. They are listed on the page. Grades reflect the full trust pyramid: code, verification depth, and reputation. New projects cap at C until adoption is earned.
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akushonkamen
Source: Glama
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FASTROUTE_DATA_DIR数据目录 ~/.fastroute( 覆盖):fastroute.db、config.json、models/FASTROUTE_EMBEDDING_HOSTembedding 模型:Xenova/paraphrase-multilingual-MiniLM-L12-v2(q8,约 135MB),首次调用工具时联网下载,默认 ModelScope 镜像( 可指回 https://huggingface.co);已有 ~/.knowyoubetter/models 缓存时直接复用FASTROUTE_MODELS_DIRTool annotations
No tools have read-only/destructive annotations
Add readOnlyHint or destructiveHint annotations to every tool so hosts can warn users before invoking.
All four hints declared on every tool
2/2 tools missing one or more hints — recommend_skills (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); reindex_skills (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint). OpenAI's directory rejects tools where any of the four hints are missing or non-boolean.
For every tool, set all four hints (readOnlyHint, destructiveHint, idempotentHint, openWorldHint) to explicit true/false values that match the handler’s actual behaviour.
Tool inputs are validated
Only 0/2 tool handlers declare input schemas (0%)
Declare an inputSchema with zod/joi/yup on every tool definition.
License file
No license file
Add a LICENSE file (MIT, Apache-2.0, etc.).
Tests pass
npm test failed — tests do not pass
Make sure npm test runs cleanly. Common cause: missing build step or missing env vars.
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