Install
$ agentstack add skill-sandbaseai-sandbase-skills-kol-discovery ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
KOL Discovery
Cross-platform influencer and creator discovery through SandBase. Find, evaluate, and compare creators across TikTok, Instagram, YouTube, and Xiaohongshu. Read [the API map](references/sandbase-api-map.md) before selecting a capability.
Call SandBase capabilities
For every selected tool, call sandbase_describe_tool first and use only arguments in its current input schema. Then call sandbase_call_tool with the exact tool_name.
Operating principles
- Evaluate creators by engagement rate, not just follower count.
- Cross-platform presence indicates established creators.
- Engagement rate = (likes + comments) / followers for each platform.
- Focus on content relevance and audience fit, not vanity metrics.
- Respect creator privacy — only report on public information.
Workflow
1. Discover on TikTok
Use tiktok_app_v3_general_search_result to search by niche keyword. Use tiktok_app_v3_creator_info for creator profile and stats. Use tiktok_app_v3_creator_search_insights for performance data.
2. Discover on Instagram
Use instagram_v3_general_search to find creators by keyword. Use instagram_v3_user_profile for profile details and metrics. Use instagram_v3_user_posts to evaluate content quality and engagement. Use instagram_v3_similar_users to find more creators in the same niche.
3. Discover on YouTube
Use youtube_web_v2_search_channels to find channels by niche. Use youtube_web_v2_channel_videos to evaluate content and consistency. Use youtube_web_v2_channel_description for channel positioning.
4. Discover on 小红书
Use xiaohongshu_app_v2_search_users to find creators. Use xiaohongshu_app_v2_user_info for profile and fan count. Use xiaohongshu_app_v2_user_posted_notes for content analysis.
Output
Return: ranked creator list with metrics (followers, engagement rate, content fit), cross-platform presence, content style assessment, and outreach recommendation.
Example tasks
- "Find 10 TikTok creators in the [niche] space with 50K-500K followers."
- "Evaluate @[creator] across all platforms — followers, engagement, content fit for [brand]."
- "Build an influencer outreach list for a [product category] launch in [market]."
- "Find 小红书 KOLs who post about [category] with high engagement."
- "Compare creator engagement rates between TikTok and Instagram for [niche]."
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: sandbaseai
- Source: sandbaseai/sandbase-skills
- License: Apache-2.0
- Homepage: https://skills.sh/sandbaseai/sandbase-skills/multi-source-search
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.