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/craftos-dev/craftbot/tiktok-adsnpx skills add CraftOS-dev/CraftBot --skill tiktok-adsgit clone --depth 1 https://github.com/CraftOS-dev/CraftBotWrote 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/craftos-dev/craftbot/tiktok-ads)<a href="https://agentmods.dev/skills/craftos-dev/craftbot/tiktok-ads"><img src="https://agentmods.dev/badge/skills/craftos-dev/craftbot/tiktok-ads.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 5.1 | $0.00020 | $0.01077 |
| Opus 5 | $0.00010 | $0.00539 |
| Sonnet 5 | $0.00004 | $0.00215 |
| Haiku 4.5 | $0.00002 | $0.00108 |
Grade A, and why
TikTok Ads 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 2d 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 — 88 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Creative Rules
- First 1-3 seconds determine everything — if viewers don't stop scrolling immediately, the rest doesn't matter
- Native content outperforms ads — shoot vertical (9:16), use trending sounds, avoid polished brand look
- Hook patterns that work: pattern interrupt, bold claim, direct question, unexpected visual, POV setup
- Text overlays are mandatory — 80%+ of users watch with sound off, burned-in captions aren't optional
- Refresh creative every 7-14 days — fatigue hits faster than any other platform, have pipeline ready
Spark Ads
- Spark Ads use organic posts as ads — keeps comments, likes, shares visible and accumulating
- Organic engagement on Spark Ads compounds — viral potential unlike standard ads
- Creator handles can be swapped — run ads from your brand handle or creator's handle
- Require creator authorization code — valid for 7, 30, or 365 days, get longer duration upfront
- Boosting already-performing organic posts is safer than untested creative — data before dollars
Targeting Mistakes
- Interest targeting is less accurate than Meta — TikTok's algorithm learns faster from creative signals
- Start broad, let algorithm optimize — overtargeting restricts the machine learning that makes TikTok work
- Custom Audiences need 1000+ users minimum — smaller lists won't deliver
- Lookalike percentages are different scale — 1% on TikTok is broader than 1% on Meta
- Behavior targeting (video completion, engagement) often outperforms interest targeting
Bidding Strategy
- Learning phase needs 50 conversions in 7 days — budget must support this or campaign never optimizes
- Cost Cap is stabler than Bid Cap for beginners — limits volatility while algorithm learns
- Lowest Cost burns budget fast on launch — switch to Cost Cap after gathering initial data
- Minimum daily budget per ad group: $20-50 depending on objective — below this, delivery is inconsistent
- Don't edit campaigns during learning phase — resets progress, wait until 50 conversions
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.
- 2d ago First seen · 88 lines · 20 tokens per session scan A d71764fe7bd1
TikTok Ads is a skill published in the GitHub repository CraftOS-dev/CraftBot (380 stars, last pushed 3d ago), licensed MIT. It adds 20 tokens to every session and 1,077 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 2026-09-03.
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