tiktok-ads

tiktok-ads is a skill for Claude Code, Codex from sergeyizmailov/knowledge-delta-skills. It costs 64 tokens per session (2,029 once invoked), scanned A, original, MIT.

A strategy and diagnosis guide for TikTok advertising. It covers campaign goals, audiences, bids, budgets, creative, tracking, advertising rules, product catalogs, and TikTok Shop, while treating live campaign execution as a separate task.

In plain words
What is it for?
Use it to research and plan campaigns, diagnose an existing account, choose optimization events, and design targeting and measurement.
Why use it?
It avoids applying a fixed campaign template when the right approach depends on the business goal, available conversion data, market, and advertising rules.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to research and plan campaigns, diagnose an existing account, choose optimization events, and design targeting and measurement.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/sergeyizmailov/knowledge-delta-skills/tiktok-ads
Install

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.

Any agent
npx skills add sergeyizmailov/knowledge-delta-skills --skill tiktok-ads
Clone the repo
git clone --depth 1 https://github.com/sergeyizmailov/knowledge-delta-skills

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for tiktok-ads

README.md
[![agentmods](https://agentmods.dev/badge/skills/sergeyizmailov/knowledge-delta-skills/tiktok-ads/github.svg)](https://agentmods.dev/skills/sergeyizmailov/knowledge-delta-skills/tiktok-ads)
Your own site
<a href="https://agentmods.dev/skills/sergeyizmailov/knowledge-delta-skills/tiktok-ads"><img src="https://agentmods.dev/badge/skills/sergeyizmailov/knowledge-delta-skills/tiktok-ads/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.

agentmods 80×15 button for tiktok-ads

Your own site · 80×15
<a href="https://agentmods.dev/skills/sergeyizmailov/knowledge-delta-skills/tiktok-ads"><img src="https://agentmods.dev/badge/skills/sergeyizmailov/knowledge-delta-skills/tiktok-ads.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 64 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,029 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00064 $0.02029
Opus 5.5 $0.00026 $0.00812
Sonnet 5.5 $0.00013 $0.00406
Haiku 4.5 $0.00006 $0.00203

Measured 1mo ago against content hash b62705344946, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

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 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.

skills/tiktok-ads/SKILL.md · 145 lines

How it starts

The opening of the file, as written. The whole thing — 145 lines — stays where its author put it; the contents beside it link to each section on GitHub.

TikTok Ads

Reviewed 2026-09-14 against TikTok's full official documentation plus RU/EN practitioner sources. UI, eligibility, policy, pricing and benchmarks are volatile — verify the current primary source when the answer depends on current behaviour (00).

Operate as a senior practitioner who has not worked this account before: derive, do not assume.

This skill ships no default strategy — on purpose

The three inputs that decide structure — the payout event, the conversion volume the account can feed, and the GEO's policy and auction — vary more than the platform does. Anything shaped like a universal launch template is an artefact of one GEO and one vertical.

Read references/01-research-protocol.md before proposing anything. It owns the intake, the constraints gate, the bounded research pass, and the derivation. The rest of this skill is the material that protocol draws on.

Diagnosing an existing account rather than planning a new one? Go straight to 09 (diagnosis order) and the reference the symptom names — but come back to 01 § H before you change the strategy, because "which input was wrong" is a derivation question, not a reporting one.

intake → constraints gate → bounded research → derive → pre-mortem → plan → execute → review

Guardrails — these fire before any reference is read

  1. TikTok's operation_status defaults to ENABLE. An object created without it is live and spending. Opposite of Meta.
  2. bid_type has exactly two values — BID_TYPE_NO_BID (Maximum Delivery) and BID_TYPE_CUSTOM (Cost Cap). Meta's bid vocabulary does not exist. Value/ROAS bidding is a separate axis (deep_bid_type) and cannot be combined with Cost Cap.
  3. TikTok publishes two learning numbers and they disagree — "~25 results or 7 days" before volatility falls, and "7 days to reach 50 conversions" for an underperforming ad group. Use 25 to decide when a number is readable and 50 to decide whether a structure can be fed (05). Porting Meta's hard 50-conversion exit gate makes you over-consolidate and mis-time every verdict.
  4. The "±20% budget change resets learning" rule appears in no TikTok document. The one documented budget rule is that an update must be ≥105% of current spend.
  5. There are no location exclusions. You positively select. Rewrite any exclusion-based plan.
  6. Attribution window locks at ad-group creation and is not a reporting parameter. Two windows means two ad groups, decided up front.
  7. Currency, timezone and country are permanent at ad-account creation, and budget minimums are base × per-currency ratio. A USD template on a JPY (×100) or IDR (×10,000) account is wrong by orders of magnitude, upward.
  8. There is no SALES objective enum (it is WEB_CONVERSIONS/PRODUCT_SALES + virtual_objective_type), no Store Traffic objective, and Collection Ads can no longer be created.
  9. Tracking fails silently. Hash mismatches, event_id mismatches and dropped ttclid throw no error anywhere. Fire one real test conversion and watch it arrive before launching.
  10. A rejected ad cannot be enabled into life — build a new one. And an appeal re-reviews the whole ad group, with one appeal allowed.

Read the full file on GitHub · 145 lines

Changes

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.

  1. 1mo ago First seen · 145 lines · 64 tokens per session scan A b62705344946

Subscribe to this mod's changes

tiktok-ads is a skill published in the GitHub repository sergeyizmailov/knowledge-delta-skills (3 stars, last pushed 1mo ago), licensed MIT. It adds 64 tokens to every session and 2,029 once invoked, about $0.0003 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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