Influencer Discovery
tigerless-labs/influencer-discovery
Find the bloggers/creators who can help promote your work, capture their contact info, and append them to the target sheet in Google Sheets.
Discover and evaluate KOLs (Key Opinion Leaders) and creators across TikTok, Instagram, YouTube, and Xiaohongshu through SandBase.
Install Kol Discovery
$ npx skills add sandbaseai/sandbase-skills --skill kol-discovery -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install sandbaseai/sandbase-skills kol-discovery --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/sandbaseai/sandbase-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/research/kol-discovery .claude/skills/kol-discovery && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "kol-discovery" agent skill from https://github.com/sandbaseai/sandbase-skills/tree/main/research/kol-discovery into .claude/skills/kol-discovery/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "kol-discovery", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/sandbaseai/sandbase-skills/tree/main/research/kol-discoveryType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add sandbaseai/sandbase-skills --skill kol-discovery -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install sandbaseai/sandbase-skills kol-discovery --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sandbaseai/sandbase-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/research/kol-discovery .agents/skills/kol-discovery && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "kol-discovery" agent skill from https://github.com/sandbaseai/sandbase-skills/tree/main/research/kol-discovery into .agents/skills/kol-discovery/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "kol-discovery", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add sandbaseai/sandbase-skills --skill kol-discovery -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install sandbaseai/sandbase-skills kol-discovery --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sandbaseai/sandbase-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/research/kol-discovery .cursor/skills/kol-discovery && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "kol-discovery" agent skill from https://github.com/sandbaseai/sandbase-skills/tree/main/research/kol-discovery into .cursor/skills/kol-discovery/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "kol-discovery", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/sandbaseai/sandbase-skills.git --path research/kol-discovery--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add sandbaseai/sandbase-skills --skill kol-discovery -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install sandbaseai/sandbase-skills kol-discovery --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sandbaseai/sandbase-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/research/kol-discovery .gemini/skills/kol-discovery && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "kol-discovery" agent skill from https://github.com/sandbaseai/sandbase-skills/tree/main/research/kol-discovery into .gemini/skills/kol-discovery/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "kol-discovery", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install sandbaseai/sandbase-skills kol-discoveryInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add sandbaseai/sandbase-skills --skill kol-discovery -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/sandbaseai/sandbase-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/research/kol-discovery .github/skills/kol-discovery && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "kol-discovery" agent skill from https://github.com/sandbaseai/sandbase-skills/tree/main/research/kol-discovery into .github/skills/kol-discovery/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "kol-discovery", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add sandbaseai/sandbase-skills --skill kol-discovery -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install sandbaseai/sandbase-skills kol-discovery --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sandbaseai/sandbase-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/research/kol-discovery .opencode/skills/kol-discovery && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "kol-discovery" agent skill from https://github.com/sandbaseai/sandbase-skills/tree/main/research/kol-discovery into .opencode/skills/kol-discovery/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "kol-discovery", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
kol-discovery- GitHub stars
- 202
- Token cost
- ~769 tokens
- SKILL.md length
- 321 words
- Files
- 2 (incl. references)
- Skills in repo
- 23
- Repo updated
- First seen
- Licence
- Apache-2.0
At a glance
Discover and evaluate KOLs (Key Opinion Leaders) and creators across TikTok, Instagram, YouTube, and Xiaohongshu through SandBase.
- Works in 4 steps: Discover on TikTok → Discover on Instagram → Discover on YouTube → …
- Asked for influencer research
- SKILL.md covers Call SandBase capabilities, Operating principles, Workflow and Output, plus 1 more section
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Kol Discovery is an agent skill from sandbaseai/sandbase-skills. Discover and evaluate KOLs (Key Opinion Leaders) and creators across TikTok, Instagram, YouTube, and Xiaohongshu through SandBase. Use when asked for influencer research, creator outreach lists, KOL evaluation, or partnership prospecting.
Its SKILL.md is about 770 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/sandbase-api-map.md`).
It sits in Sales & Support, covering Influencer and creator marketing and Cold outreach. It works with Instagram, TikTok, YouTube and Xiaohongshu. The repository describes itself as: 88 installable open-source Agent Skills for research, social intelligence, marketing, and business workflows—compatible with Codex, Claude Code, Cursor, Gemini CLI, and DeepSeek… The licence is Apache-2.0.
When your agent uses it
- Asked for influencer research
- Creator outreach lists
- Partnership prospecting
Example prompts
- “/kol-discovery”
Workflow steps
4 steps, taken from the step headings in SKILL.md.
What it can do on your machine
Read from SKILL.md and the folder at commit cbab581. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Kol Discovery loads about 769 tokens when it runs, and up to ~1.2k if it reads all its reference files. Until then it costs about 63 tokens; SKILL.md has 321 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
The full file from sandbaseai/sandbase-skills at commit cbab581, republished under its Apache-2.0 licence (© sandbaseai). 321 words, ~769 tokens.
Download SKILL.mdSave it as
.claude/skills/kol-discovery/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.- name
- kol-discovery
- description
- Discover and evaluate KOLs (Key Opinion Leaders) and creators across TikTok, Instagram, YouTube, and Xiaohongshu through SandBase. Use when asked for influencer research, creator outreach lists, KOL evaluation, or partnership prospecting.
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 before selecting a capability.
Call SandBase capabilities
Use the capability identifiers below as discovery hints, not MCP tool names. Find the matching endpoint with sandbase_discover(q: "<provider and capability>"); use its returned name in sandbase_inspect(name: "<returned name>"). Read inputSchema, pricing, and execute_as, then call sandbase_run using execute_as.arguments.name and schema-defined arguments. If a run_id is returned, poll sandbase_run_get(run_id: "<returned run_id>") within the task budget until completed or failed; report pending or failed runs without resubmitting them automatically.
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]."
© sandbaseai, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 1 other file (references) in research/kol-discovery of sandbaseai/sandbase-skills.
- SKILL.md
- references/sandbase-api-map.md
Open the folder on GitHubat commit cbab581
Compare with similar skills
Kol Discovery next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Kol Discovery this skillsandbaseai/sandbase-skills | 202 | — | ~769 | Automated safety check: Pass | Apache-2.0 | |
| Influencer Discoverytigerless-labs/influencer-discovery | 212 | — | ~2.5k | Automated safety check: Notes | None | |
| Higgsfield Content FactoryDaanKieft/ai-influencer | 116 | — | ~15k | Automated safety check: Pass | None | |
| Google Social Media Finderbrowser-act/skills | 6.1k | — | ~1.7k | Automated safety check: Pass | MIT | |
| Audience Fit Checkunifapi-agent/agents | 589 | — | ~2.5k | Automated safety check: Pass | MIT | |
| Apify Influencer Discoverysickn33/agentic-awesome-skills | 47k | 2 repos | ~1.3k | Automated safety check: Notes | MIT |
Similar skills
Higgsfield Content Factory
DaanKieft/ai-influencer
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Google Social Media Finder
browser-act/skills
Searches Google to discover social media profiles associated with a person, brand, or username; returns platform name, profile URL, username, bio snippet, and follower count across X, Instagram…
Audience Fit Check
unifapi-agent/agents
When the user wants to vet a specific creator's audience fit and brand-safety before working with them.
Apify Influencer Discovery
sickn33/agentic-awesome-skills
Find and evaluate influencers for brand partnerships, verify authenticity, and track collaboration performance across Instagram, Facebook, YouTube, and TikTok.
Creator Campaign Ops
unifapi-agent/agents
When the user wants a full-funnel influencer marketing campaign workflow: campaign setup, creator matching, budget and pricing forecast, outreach/confirmation pack, content review checklist, launch…
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Related
Works with
Categories
Questions about Kol Discovery
What does Kol Discovery do?
Discover and evaluate KOLs (Key Opinion Leaders) and creators across TikTok, Instagram, YouTube, and Xiaohongshu through SandBase. Kol Discovery is an agent skill from sandbaseai/sandbase-skills. Discover and evaluate KOLs (Key Opinion Leaders) and creators across TikTok, Instagram, YouTube, and Xiaohongshu through SandBase.
When should I use Kol Discovery?
Kol Discovery fits situations like: asked for influencer research; creator outreach lists; partnership prospecting.
How do I install Kol Discovery in Claude Code?
Run `npx skills add sandbaseai/sandbase-skills --skill kol-discovery -a claude-code`. Or copy the skill folder (research/kol-discovery in sandbaseai/sandbase-skills) into .claude/skills/kol-discovery in your project. Claude Code loads it when a task matches its description.
How do I install Kol Discovery in Codex?
Run `npx skills add sandbaseai/sandbase-skills --skill kol-discovery -a codex`. Or copy the skill folder (research/kol-discovery in sandbaseai/sandbase-skills) into .agents/skills/kol-discovery in your project. Codex loads it when a task matches its description.
Can I use Kol Discovery in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add sandbaseai/sandbase-skills --skill kol-discovery -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/kol-discovery, .gemini/skills/kol-discovery, .github/skills/kol-discovery and .opencode/skills/kol-discovery in your project.
What does Kol Discovery need to run?
SKILL.md names no scripts, command-line tools or credentials: Kol Discovery is instructions for the agent only.
Does Kol Discovery access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Kol Discovery safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Kol Discovery use?
Kol Discovery is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Kol Discovery use?
About 769 tokens (SKILL.md is roughly 3.1k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 406 tokens, read only when the agent opens those files.
What are the alternatives to Kol Discovery?
Skills that share tags, products or a category with Kol Discovery: Influencer Discovery (tigerless-labs/influencer-discovery, 212 stars), Higgsfield Content Factory (DaanKieft/ai-influencer, 116 stars), Google Social Media Finder (browser-act/skills, 6.1k stars) and Audience Fit Check (unifapi-agent/agents, 589 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Kol Discovery?
sandbaseai (a GitHub organization) maintains it in sandbaseai/sandbase-skills, which has 202 GitHub stars. The repository holds 23 skills in this directory. The repository was last updated on September 26, 2026.
Source: sandbaseai/sandbase-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.