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 agentmods add skills/tikhub/tikhub-plugin/creator-analyticsnpx skills add TikHub/tikhub-plugin --skill creator-analyticsgit clone --depth 1 https://github.com/TikHub/tikhub-pluginWrote 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/tikhub/tikhub-plugin/creator-analytics)<a href="https://agentmods.dev/skills/tikhub/tikhub-plugin/creator-analytics"><img src="https://agentmods.dev/badge/skills/tikhub/tikhub-plugin/creator-analytics.svg" alt="Measured on agentmods" 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 | $0.00064 | $0.00584 |
| Opus 5 | $0.00032 | $0.00292 |
| Sonnet 5 | $0.00013 | $0.00117 |
| Haiku 4.5 | $0.00006 | $0.00058 |
Grade A, and why
creator-analytics scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 4d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 55 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Creator Analytics
Profile a single account and summarize its performance. For comparing multiple accounts, use
competitor-analysis.
Setup gate
[ -z "${TIKHUB_API_KEY:-}" ] && echo "Set TIKHUB_API_KEY first (see tikhub-onboarding)."
Workflow
- Identify platform + handle from the user's input (URL or @handle).
- Resolve the user to the id the API needs (e.g. TikTok/Douyin
sec_user_idviahandler_user_profile; Twitterscreen_name/rest_id; Instagramusername). See the platform skill for the exact endpoint. - Fetch the profile (followers, following, total likes/posts, bio) — the user-info endpoint.
- Fetch recent posts (e.g. last 30–100) via the user's post-list endpoint, paginating with the platform's cursor. Cap the page count and tell the user the cost.
- Compute metrics from the posts:
- Engagement rate ≈ avg(likes + comments + shares) / followers.
- Posting cadence (posts/week from timestamps).
- Top 5 posts by engagement; median vs. top performance.
- Trend over time (rising/declining views).
- Deliver a concise report: headline stats, engagement rate, cadence, top content, and 2–3 observations.
Endpoint pointers (per platform)
Use tikhub-find-endpoint "user info" --platform <slug> and "user posts" --platform <slug>, or
the platform skill: tiktok, douyin, instagram, youtube, twitter-threads, xiaohongshu.
Cost awareness
Profile = 1 call; each page of posts = 1 call. Estimate before running:
GET /api/v1/tikhub/user/calculate_price?endpoint=<path>&request_per_day=<n>. Warn the user
before pulling many pages.
Verification gate
- Profile resolved (non-empty follower/post counts).
- Post list non-empty and timestamps parse.
- Engagement math sanity-checked (rates between 0–100%).
Red flags
- Reporting an engagement rate from too few posts — note the sample size.
- Forgetting to resolve
sec_user_id/numeric id before the post-list call.
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.
- 4d ago First seen · 55 lines · 64 tokens per session scan A d9bdf8706993
creator-analytics is a skill published in the GitHub repository TikHub/tikhub-plugin (6 stars, last pushed 2mo ago), licensed MIT. It adds 64 tokens to every session and 584 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 2026-08-31.
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