Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add sandbaseai/sandbase-skills --skill tiktok-researchgit clone --depth 1 https://github.com/sandbaseai/sandbase-skillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/sandbaseai/sandbase-skills/tiktok-research)<a href="https://agentmods.dev/skills/sandbaseai/sandbase-skills/tiktok-research"><img src="https://agentmods.dev/badge/skills/sandbaseai/sandbase-skills/tiktok-research/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/sandbaseai/sandbase-skills/tiktok-research"><img src="https://agentmods.dev/badge/skills/sandbaseai/sandbase-skills/tiktok-research.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00051 | $0.00622 |
| Opus 5 | $0.00026 | $0.00311 |
| Sonnet 5 | $0.00010 | $0.00124 |
| Haiku 4.5 | $0.00005 | $0.00062 |
Grade A, and why
tiktok-research scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 8d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 61 lines — stays where its author put it; the contents beside it link to each section on GitHub.
TikTok Research
TikTok content and creator intelligence through SandBase. Search videos, analyze creator profiles, track hashtag performance, discover trending content, and research live streams. Read the API map 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
- Use TikTok data for content research and market intelligence only.
- Preserve attribution: include video URLs, creator handles, view counts, dates.
- TikTok metrics are volatile — note observation timestamps.
- Never attempt to post, like, comment, or follow on the platform.
Workflow
1. Search and discover
Use tiktok_app_v3_general_search_result for keyword/topic video discovery.
Use tiktok_app_v3_hashtag_search_result to find hashtags by keyword.
Use tiktok_app_v3_hashtag_video_list to get videos under a specific hashtag.
Use tiktok_app_v3_home_feed to see what's trending on For You.
2. Analyze creators
Use tiktok_app_v3_creator_info for creator profile and stats.
Use tiktok_app_v3_creator_search_insights for creator search performance.
Use tiktok_app_v3_creator_search_insights_trend for creator trend data.
Use tiktok_app_v3_creator_search_insights_videos for top-performing videos.
3. Analyze content
Use tiktok_app_v3_one_video for detailed video metrics.
Use tiktok_app_v3_multi_video for batch video analysis.
Use tiktok_app_v3_music_video_list for content using specific sounds.
Use tiktok_app_v3_music_detail for sound/music metadata.
4. Live and commerce
Use tiktok_app_v3_live_room_info for live stream details.
Use tiktok_app_v3_live_ranking_list for top live creators.
Use tiktok_app_v3_live_room_product_list for live commerce research.
Output
Return: search results, creator analysis (followers, engagement, content themes), hashtag performance, trending content patterns, and competitive insights.
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 8d ago First seen · 61 lines · 51 tokens per session scan A c7b501bdcf52
tiktok-research is a skill published in the GitHub repository sandbaseai/sandbase-skills (151 stars, last pushed 3d ago), licensed Apache-2.0. It adds 51 tokens to every session and 622 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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