文本智析

Funnlp

by bytesagain1

Detect sensitive words, extract phone/ID numbers, and run Chinese NLP tasks. Use when filtering content, extracting entities, or detecting text language.

4.5kAI 与智能体未扫描2026年3月23日

安装

claude skill add --url github.com/openclaw/skills/tree/main/skills/bytesagain1/funnlp

文档

Funnlp

Funnlp v2.0.0 — an AI toolkit for managing NLP workflows from the command line. Log configurations, benchmarks, prompts, evaluations, fine-tuning runs, and more. Each entry is timestamped and persisted locally. Works entirely offline — your data never leaves your machine.

Inspired by fighting41love/funNLP (79,378+ GitHub stars).

Commands

Domain Commands

Each domain command works in two modes: log mode (with arguments) saves a timestamped entry, view mode (no arguments) shows the 20 most recent entries.

CommandDescription
funnlp configure <input>Log a configuration note (model settings, parameters, etc.)
funnlp benchmark <input>Log a benchmark result or observation
funnlp compare <input>Log a model/tool comparison note
funnlp prompt <input>Log a prompt template or prompt engineering note
funnlp evaluate <input>Log an evaluation result or metric
funnlp fine-tune <input>Log a fine-tuning run or hyperparameter note
funnlp analyze <input>Log an analysis observation or insight
funnlp cost <input>Log cost tracking data (API costs, compute, etc.)
funnlp usage <input>Log usage metrics or consumption data
funnlp optimize <input>Log optimization attempts or improvements
funnlp test <input>Log test results or test case notes
funnlp report <input>Log a report entry or summary finding

Utility Commands

CommandDescription
funnlp statsShow summary statistics across all log files
funnlp export <fmt>Export all data to a file (formats: json, csv, txt)
funnlp search <term>Search all log entries for a term (case-insensitive)
funnlp recentShow the 20 most recent entries from the activity log
funnlp statusHealth check — version, data dir, entry count, disk usage
funnlp helpShow the built-in help message
funnlp versionPrint the current version (v2.0.0)

Data Storage

All data is stored locally at ~/.local/share/funnlp/. Each domain command writes to its own log file (e.g., configure.log, benchmark.log). A unified history.log tracks all actions across commands. Use export to back up your data at any time.

Requirements

  • Bash (4.0+)
  • No external dependencies — pure shell script
  • No network access required

When to Use

  • Tracking Chinese NLP experiments (sensitive word detection, entity extraction, etc.)
  • Logging benchmark results for text classification, NER, or sentiment models
  • Comparing NLP tools and libraries with persistent, searchable notes
  • Managing prompt engineering iterations for Chinese language tasks
  • Recording fine-tuning runs and evaluation metrics
  • Building a local knowledge base of NLP experiment results
  • Exporting experiment logs for team sharing or archival

Examples

bash
# Log a new configuration
funnlp configure "BERT-base-chinese, max_len=512, batch=32"

# Record a benchmark result
funnlp benchmark "NER F1=0.91 on MSRA dataset"

# Compare two approaches
funnlp compare "jieba vs pkuseg: pkuseg +3% on news domain"

# Log a prompt template
funnlp prompt "Extract all phone numbers from: {text}"

# Track fine-tuning
funnlp fine-tune "Epoch 5/10, loss=0.23, lr=2e-5"

# Search across all logs
funnlp search "BERT"

# Export everything as CSV
funnlp export csv

# Check overall status
funnlp status

# View recent activity
funnlp recent

Powered by BytesAgain | bytesagain.com | hello@bytesagain.com

相关 Skills

Claude接口

by anthropics

Universal
热门

面向接入 Claude API、Anthropic SDK 或 Agent SDK 的开发场景,自动识别项目语言并给出对应示例与默认配置,快速搭建 LLM 应用。

想把Claude能力接进应用或智能体,用claude-api上手快、兼容Anthropic与Agent SDK,集成路径清晰又省心

AI 与智能体
未扫描139.0k

RAG架构师

by alirezarezvani

Universal
热门

聚焦生产级RAG系统设计与优化,覆盖文档切块、检索链路、索引构建、召回评估等关键环节,适合搭建可扩展、高准确率的知识库问答与检索增强应用。

面向RAG落地,把知识库、向量检索和生成链路系统串联起来,做架构设计时更清晰,也更少踩坑。

AI 与智能体
未扫描15.8k

多智能体架构

by alirezarezvani

Universal
热门

聚焦多智能体系统架构设计,梳理 Supervisor、Swarm、分层和 Pipeline 等模式,覆盖角色定义、通信协作与性能评估,适合规划稳健可扩展的 AI agent 编排方案。

帮你系统解决多智能体应用的架构设计与协同编排难题,适合构建复杂 AI 工作流,成熟度高、社区认可也很亮眼。

AI 与智能体
未扫描15.8k

相关 MCP 服务

知识图谱记忆

编辑精选

by Anthropic

热门

Memory 是一个基于本地知识图谱的持久化记忆系统,让 AI 记住长期上下文。

帮 AI 和智能体补上“记不住”的短板,用本地知识图谱沉淀长期上下文,连续对话更聪明,数据也更可控。

AI 与智能体
86.1k

顺序思维

编辑精选

by Anthropic

热门

Sequential Thinking 是让 AI 通过动态思维链解决复杂问题的参考服务器。

这个服务器展示了如何让 Claude 像人类一样逐步推理,适合开发者学习 MCP 的思维链实现。但注意它只是个参考示例,别指望直接用在生产环境里。

AI 与智能体
86.1k

PraisonAI

编辑精选

by mervinpraison

热门

PraisonAI 是一个支持自反思和多 LLM 的低代码 AI 智能体框架。

如果你需要快速搭建一个能 24/7 运行的 AI 智能体团队来处理复杂任务(比如自动研究或代码生成),PraisonAI 的低代码设计和多平台集成(如 Telegram)让它上手极快。但作为非官方项目,它的生态成熟度可能不如 LangChain 等主流框架,适合愿意尝鲜的开发者。

AI 与智能体
7.9k

评论