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 linkfox-ai/linkfox-skills --skill linkfox-chuhaijiang-tiktok-livegit clone --depth 1 https://github.com/linkfox-ai/linkfox-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/linkfox-ai/linkfox-skills/linkfox-chuhaijiang-tiktok-live)<a href="https://agentmods.dev/skills/linkfox-ai/linkfox-skills/linkfox-chuhaijiang-tiktok-live"><img src="https://agentmods.dev/badge/skills/linkfox-ai/linkfox-skills/linkfox-chuhaijiang-tiktok-live/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/linkfox-ai/linkfox-skills/linkfox-chuhaijiang-tiktok-live"><img src="https://agentmods.dev/badge/skills/linkfox-ai/linkfox-skills/linkfox-chuhaijiang-tiktok-live.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00154 | $0.02163 |
| Opus 5.5 | $0.00062 | $0.00865 |
| Sonnet 5.5 | $0.00031 | $0.00433 |
| Haiku 4.5 | $0.00015 | $0.00216 |
Grade A, and why
linkfox-chuhaijiang-tiktok-live 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 1mo 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 — 117 lines — stays where its author put it; the contents beside it link to each section on GitHub.
TikTok Live Commerce Intelligence
Use this skill to research public TikTok livestream commerce: discover live sessions with market filters, inspect one session and its performance metrics, or identify the products sold in that session.
Core Concepts
- This is read-only public-market research. It does not start, moderate, schedule, or manage a TikTok livestream.
- Search returns
data.items[]plusdata.total_count. Reuse a search item's stringidfor detail or related-product calls. - Detail returns identity and creator context in
data.items[];include=coreadditionally returns performance metrics indata.core.items[]. - Related-product rows use
tiktok_live_detail_product_*fields. Readreferences/api.mdbefore interpreting them. - Money fields are objects such as
{ "unit": "US", "value": 2015752.25 }. Preserve both fields and do not silently relabel or convert the unit. - A requested
countryis query context; preserve the row-levelcountry_codebecause it is authoritative for the returned record.
Data Fields
| Field | Meaning |
|---|---|
data.total_count |
Total matching live sessions or products |
data.items[].id |
Live room ID, or product ID on the related-products endpoint |
title / room_link |
Live title and public room URL |
user_id / user_unique_id |
Host identifiers |
gmv / gpm / opm |
Revenue, GMV per thousand viewers, and orders per thousand viewers |
total_sold_count / product_count |
Units sold and products promoted in the live |
total_user / max_user_count |
Total and peak audience counts |
data.core.items[] |
Optional normalized performance metrics from detail include=core |
tiktok_live_detail_product_* |
Related product, seller, price, sales, GMV, commission, and conversion fields |
Endpoints
| User goal | Endpoint | Script |
|---|---|---|
| Search public livestreams | /chuhaijiang/lives/search |
chuhaijiang_live_search.py |
| Inspect one livestream | /chuhaijiang/lives/detail |
chuhaijiang_live_detail.py |
| Find products sold in a livestream | /chuhaijiang/lives/related-products |
chuhaijiang_live_related_products.py |
What ships with it
6 files 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.
- 1mo ago First seen · 117 lines · 154 tokens per session scan A 47763ead2c65
linkfox-chuhaijiang-tiktok-live is a skill published in the GitHub repository linkfox-ai/linkfox-skills (109 stars, last pushed 2d ago), licensed MIT. It adds 154 tokens to every session and 2,163 once invoked, about $0.0006 per session on Opus 5.5. 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 2026-09-15.
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