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Geofeed Tuner – Create Better IP Geolocation Feeds

porgithub·github· v1.0.0 · atualizado em 2026-04-10
80
Score

>

ip-geolocationdata-validationcsv-processingrfc-8805data-qualitynetwork-engineering
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Documento do Skill

SKILL.mdgeofeed-tuner/workflow
1
Understand the Standard: — Review RFC 8805 requirements for IP geolocation feeds.
2
Gather Input: — Collect IP subnet data from local files or remote URLs and store in `./run/data/`.
3
Checks & Suggestions: — Validate CSV structure, analyze IP prefixes, and check data quality.
4
Tuning Data Lookup: — Retrieve tuning data using Fastah's MCP tool.
5
Generate Tuning Report: — Create an HTML report summarizing the analysis and suggestions, saving it to `./run/report/`.
6
Final Review: — Verify consistency and completeness of the report data.

Telemetria de Agentes

Execuções
0
total
Taxa de Sucesso
0%
últimos 30d
Latência Média
0.0s
p50
Alucinação
0.0%
detecção
Tokens Entrada
0
avg 0/exec
Tokens Saída
0
avg 0/exec

Uso por Plataforma

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Árvore do Skill

Geofeed Tuner – Create Better IP Geolocation Feeds
geofeed-tuner
Fases Cognitivas5
1.SENSE
2.CONTEXTUALIZE
3.EVALUATE
4.RECOMMEND
5.ACT
Triggers8
create an IP geolocation feedimprove my IP geolocation datavalidate my IP geolocation CSVtune my IP geolocation feedpublish IP geolocation datacheck my geolocation data against RFC 8805troubleshoot my IP geolocation feedensure my IP geolocation data is accurate

Avaliar este Skill

Score Breakdown

⭐Avaliação Humana0%
🤖Sucesso de Agentes0%
🕐Atualidade100%
🔗Saúde de Dependências100%
🕸️Centralidade no Grafo0%
🛡️Segurança49%
CompositeScore = α·Humano + β·Agente + γ·Recência + δ·Deps + ε·Centralidade + ζ·Segurança

Instalação

$ synaptic mcp download geofeed-tuner
$ synaptic skills detail geofeed-tuner
$ synaptic skills live geofeed-tuner

Links

GitHub Repository