OSINT Social Analyzer

Investigate a username across 1000+ social media platforms and websites using social-analyzer. Use this skill whenever the user wants to look up, investigate...

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"

---

Running an Investigation

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)