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SecNewsAI助手

金融行业安全监管资讯订阅系统。采集安全资讯源(RSS/网站/微信公众号), 经评分、交叉验证后生成日报/周报/月报(纯 MD 格式)。 触发词:安全资讯、日报、周报、今日安全新闻、daily news、weekly report、 资讯订阅、金融安全资讯、安全态势、security news、news digest。 不要用于:内容创作、深度分析、政策解读、非安全领域的资讯采集。
🔐 news-subscription-lite v1.0 — 安全人专属的「早报生成器」 每天早上醒来,不刷朋友圈、不打开 74 个网站,就能拿到一份今日安全圈发生了什么的结构化日报。 它做什么? 自动抓取 74 个信息源(央行/证监会/CNCERT 等官网 + 奇安信/360/长亭/Vulhub 等安全厂商 + 微信公众号) 自动打分 + 交叉验证,确保不是虚假信息或低质水文 一键输出 精炼 Markdown 日报,5 分钟读完今天的核心安全态势 3 步跑起来: 1、安装skill 2、cd ~/.workbuddy/skills/news-subscription-lite/scripts 3、python3 news_digest.py --mode daily 就这么简单。10 分钟出日报,20 分钟出周报。 适合谁? 金融机构安全运营/合规团队(央行动态、处罚信息实时跟踪) 安全负责人(每天看一份总结就够了,不用盯 74 个源) 甲方安全需要交「安全态势日报」的同学(直接改改就能用)
SecNewsAI攻防
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概述

Security News Subscription Skill v1.0

金融行业安全资讯自动采集、评分、交叉验证、MD 报告生成系统。

1. Skill Scope

Core: Financial industry (bank/insurance/securities/asset/payment) news collection pipeline.

Focus: National security standards | Security tech | Enforcement info | AI finance | AI security | Industry dynamics

Abilities: Info collection | Quality scoring (100pt + 6-cat + source rating + cross-verify) | MD report generation

Boundaries: NOT responsible for content creation, deep analysis, policy interpretation

2. Trigger Scenarios

ScenarioTriggerNote
:------------------
Daily report"daily news"Generate daily financial security news
Weekly report"weekly report"Summarize last week news
Monthly report"monthly report"Summarize this month news
Source update"subscribe XX"Manage news sources

3. Classification System

Priority: Enforcement(5) > AI Finance(4) >= AI Security(4) > Security Tech(3) > National Standards(2) > Industry(1)

Important: Security tech判断优先于National standards

CategoryWeightContentKeywordsAuthority Source
:-----:----:------------------------------
Enforcement5Bank/securities penalty, AML violationpenalty/fine/rectification/warning letter/administrative penaltynfra.gov.cn, csrc.gov.cn
AI Finance4LLM, intelligent investment, smart risk controlLLM, intelligent investment, smart risk control, digital employee36kr, Xinhua, THF
AI Security4Prompt injection, deepfake, adversarial attack, AI supply chainPrompt injection, deepfake, adversarial, model theft, AIGC security, AI governanceFreeBuf, SecBot
Security Tech3CVE, APT, ransomware, data breach, cloud securityCVE, 0day, APT, DDoS, supply chain attack, zero trust, cloud config errorSecK, FreeBuf, CNNVD
National Standards2GB/T, JR/T, multi-level protection, CII, cryptographyGB/T, JR/T, JR/T 0068, TC260, data security lawcfstc.pbc.gov.cn, nfra.gov.cn
Industry1Regulatory dynamics, rating methods, market trendsregulatory dynamics, annual report, Baselnfra.gov.cn, pbc.gov.cn

Scoring Keywords (11 categories)

Network security | AI security | Securities standards | Banking standards | PBOC regulation

Cloud security | Data security | Threat intel | Compliance | AI finance applications | Industry orgs

See scripts/score_news.py SECURITY_KEYWORDS and CATEGORY_BOOST_KEYWORDS

4. Source Maintenance Principles

P0: Never delete sources | P1: Disable > delete | P2: Replace > delete | P3: Build crawler > abandon

5. Execution Flow (3 Steps)

Step 1: Confirm sources
Step 2: Fetch and store
  Step 2.5: Source rating (auto) - Excellent/Good/Normal/Poor, with score multiplier
  Step 2.7: Cross-verification (auto) - Multi-source verification, VERIFIED/SINGLE/DISPUTED/UNKNOWN
Step 3: Generate MD report

Source Rating

RatingScoreMultiplierThreshold adjust
:-----:----::--------::-:
Excellent90-100x1.15base-10
Good70-89x1.05base-5
Normal50-69x1.00base
Poor0-49x0.85base+15

Cross-Verification

StatusNote
:-----------
VERIFIEDMulti-source confirmed
SINGLESingle source, no corroboration
DISPUTEDTitle similar but key info contradicts
UNKNOWNSource unreachable or info insufficient

Rules: Score>=80 (mandatory verify) | Score 60-79 (random 30%) | Score<60 (skip)

6. Quick Commands

python3 news_digest.py --mode daily
python3 news_digest.py --mode weekly
python3 news_digest.py --mode monthly
python3 news_digest.py --mode daily --top 50 --min-score 60
python3 news_digest.py --mode daily --skip-cross-verify

7. Authority Sources

Threat Intel (14 vendors): Tencent, QAX, 360, Sangfor, Chaitin, DBAPPSecurity, Venustech, NSFOCUS, SecWiki

Financial Reg: PBC, NFRA, CSRC, CFSTC, SecRSS, Xinhua Finance

8. Version History

VerDateChanges
:-----------------
v1.02026-06-01初始版本:三步流程(确认信息源 → 采集入库 → 生成 MD 报告),纯 MD 输出。支持 74 个信息源、六分类体系、100 分评分 + 来源评级加权、交叉验证、知识库归档。

9. File Structure

news-subscription-lite/

SKILL.md (v1.0)

scripts/

news_digest.py - main entry (3-step CLI)

pipeline.py - 3-step pipeline engine

score_news.py - scoring engine

manage_sources.py - source management

discover_sources.py - WeChat source discovery

source_rating.py - source 4-level rating

cross_verify.py - cross-verification module

knowledge_manager.py - raw archive only (no wiki/IMA sync)

operation_logger.py - pipeline logging

fetch_rss.py, fetch_website.py, fetch_wechat.py,

fetch_wechat_advanced.py, fetch_wechat_mp.py,

fetch_secrss.py, fetch_finance_gov.py,

fetch_cnnvd.py, fetch_cnvd.py

references/

source_domains.json, scoring_keywords.md, security_news_format.md,

template_spec.md, setup_guide.md, version_history.md

References 按需加载指引

以下 references 文件在特定场景下需读取,避免每次加载全部:

文件何时读取
------------
references/security_news_format.md需要了解资讯分类规则、评分字段定义时
references/scoring_keywords.md调试评分异常、需要调整关键词加权时
references/source_domains.json新增/修改订阅源域名、排查来源评级时
references/setup_guide.md首次安装、排查环境依赖时
references/version_history.md追溯版本变更、确认功能迭代时间线时
references/template_spec.md修改 MD 报告模板排版时

版本历史

共 1 个版本

  • v1.0.0 v1.0 发版前修复(skill-optimizer 审查) P0:删除 DOCX 模板残留 assets/word_template_spec.md P0:重写 references/setup_guide.md(清除邮件/IMA 配置指引) P1:删除 scripts/__pycache__/ 构建缓存(316KB) P1:清理 .skillignore 中的冗余规则 P2:移除 pipeline.py 中残留的 wechat_search 六分类补全代码 P2:SKILL.md 新增 References 按需加载指引表 P2:requirements.txt 移除 html2image/weasyprint/openpyxl 当前
    2026-06-01 23:42 安全 安全

安全检测

腾讯云安全 (Keen)

安全,无风险
查看报告

腾讯云安全 (Sanbu)

安全,无风险
查看报告

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