OSINT Social Analyzer

OSINT Social Analyzer Skill

Cross-platform username investigation using social-analyzer. Searches 1000+ platforms and returns a natural language summary of findings.

Setup (first run only)

pip3 install social-analyzer --break-system-packages Verify it works: python3 -m social-analyzer --username "testuser" --top 10 --output json --filter "good"

Standard lookup (recommended default)

python3 -m social-analyzer \ --username "{USERNAME}" \ --metadata \ --output json \ --filter "good" \ --top 100

Deep lookup (slower, more thorough)

python3 -m social-analyzer \ --username "{USERNAME}" \ --metadata \ --extract \ --output json \ --filter "good,maybe" \ --top 300

Platform-specific lookup

# Specific websites python3 -m social-analyzer --username "{USERNAME}" --websites "youtube twitter instagram tiktok github" # By content type python3 -m social-analyzer --username "{USERNAME}" --type "music" # By country python3 -m social-analyzer --username "{USERNAME}" --countries "us uk"

Multiple usernames (variants)

python3 -m social-analyzer --username "{NAME1},{NAME2},{NAME3}" --metadata --top 100

Parsing and Summarizing Results

After running the command, parse the JSON output and produce a conversational summary — do NOT dump raw JSON to the user.

What to extract from results

From each detected profile: website — platform name url — direct link rate — confidence score (0–100) status — "good" / "maybe" / "bad" metadata.name — display name if available metadata.bio — bio/description if available metadata.followers — follower count if available

Summary format (conversational, natural language)

• Structure the response like this:
• 找到 [N] 个账号，以下是主要发现：
• **高置信度账号（rate ≥ 80）：**
• GitHub (rate: 95): github.com/username — 显示名 "John"，有 234 个 follower
• Twitter (rate: 88): twitter.com/username
• Instagram (rate: 82): instagram.com/username — 简介：摄影爱好者
• **中等置信度（rate 50–79）：**
• Reddit (rate: 65): reddit.com/u/username
• 共扫描了 100 个平台，[M] 个请求失败（网络超时等），不影响主要结果。

Confidence tiers

rate ≥ 80 → 高置信度，几乎确定是同一人 rate 50–79 → 中等，值得关注但需人工确认 rate < 50 → 低，通常跳过，除非用户要求显示全部

Handling Edge Cases

No results found: 在扫描的 100 个平台中未找到该用户名的公开账号。可能原因：用户名拼写不同、账号已删除、或平台设置了隐私保护。 Command takes too long (>5 min): Reduce scope: --top 50 or specify --websites explicitly. pip install fails: pip3 install social-analyzer # or pip install social-analyzer --user Rate limiting from platforms: Some platforms block rapid scanning. Use --mode slow for more polite requests: python3 -m social-analyzer --username "{USERNAME}" --mode slow --top 50

Privacy & Ethics Reminder

This tool only accesses publicly available information. Always remind the user: Results are public data only — no private messages, emails, or passwords Intended for legitimate use: self-auditing, security research, journalism, law enforcement support Do not use to stalk, harass, or violate anyone's privacy Different jurisdictions have different laws around OSINT — use responsibly Include a one-line reminder at the end of every investigation summary: ⚠️ 以上均为公开信息，请合法合理使用。

Chinese Platform Lookup (cn_lookup.py)

For Chinese social media platforms, use the dedicated script instead of social-analyzer.

Supported platforms

平台覆盖情况备注Bilibili 哔哩哔哩✅ 用户名搜索 + 主页信息最可靠知乎 Zhihu✅ 用户名/URL token 搜索需精确匹配微博 Weibo⚠️ 移动端降级搜索仅存在性检测小红书 / 抖音 / 微信❌ 不支持强制登录，无公开接口

Running cn_lookup

python3 skills/osint-social/scripts/cn_lookup.py "{USERNAME}"

When to use cn_lookup vs social-analyzer

User mentions Chinese platforms, Bilibili, 知乎, 微博 → use cn_lookup.py User mentions username is Chinese or used on Chinese internet → run both General global lookup → use social-analyzer only

Combined workflow (recommended for thorough investigation)

# Step 1: Global platforms python3 -m social-analyzer --username "{USERNAME}" --metadata --output json --filter "good" --top 100 # Step 2: Chinese platforms python3 skills/osint-social/scripts/cn_lookup.py "{USERNAME}" Then combine and summarize both outputs together in a single natural language response.

Reference Files

references/platforms.md — Notable platforms covered and their categories references/platforms.md — Notable platforms covered and their categories scripts/run_osint.sh — Shell wrapper for global platform lookup scripts/cn_lookup.py — Chinese platform lookup (Bilibili, Zhihu, Weibo)