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 adsagents/adsagent-ai-skills --skill tiktok-insightsgit clone --depth 1 https://github.com/adsagents/adsagent-ai-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/adsagents/adsagent-ai-skills/tiktok-insights)<a href="https://agentmods.dev/skills/adsagents/adsagent-ai-skills/tiktok-insights"><img src="https://agentmods.dev/badge/skills/adsagents/adsagent-ai-skills/tiktok-insights/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/adsagents/adsagent-ai-skills/tiktok-insights"><img src="https://agentmods.dev/badge/skills/adsagents/adsagent-ai-skills/tiktok-insights.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 | $0.00029 | $0.00246 |
| Opus 5 | $0.00015 | $0.00123 |
| Sonnet 5 | $0.00006 | $0.00049 |
| Haiku 4.5 | $0.00003 | $0.00025 |
Grade A, and why
tiktok-insights 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 today.
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.
What it actually says
TikTok Through AdsAgent
- Run
setup_get_status, then inspect the exact advertised TikTok capability names before choosing a read, creative, write, optimization, MMP, or support workflow. - For reads, use one aggregate query or server batch and preserve completeness, source snapshot, route, and continuation.
- For approval-backed ad changes, use the advertised prepare/confirm/recovery
tools, sanitized review, fresh explicit approval, one confirm, and exact-route
recovery. For direct operations such as
support_report_errororcreatives_abandon_upload, follow the exact advertised tool contract and user authorization; do not invent a prepare/confirm pair. - Never translate Meta object names or semantics into TikTok.
- Return compact evidence and the next safe action, never raw JSON.
Read channel-contract.md only for pagination, creative readiness, QuickCreate/append, receipts, optimization, MMP, or support.
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.
- today Changed · +3 lines 91a81ca3b2f1
- 12d ago First seen · 20 lines · 29 tokens per session scan A 543bb2c3e826
tiktok-insights is a skill published in the GitHub repository adsagents/adsagent-ai-skills (3 stars, last pushed yesterday), licensed MIT. It adds 29 tokens to every session and 246 once invoked, about $0.0001 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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