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 0xArtex/Palmyr --skill tiktokgit clone --depth 1 https://github.com/0xArtex/PalmyrWrote 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/0xartex/palmyr/tiktok)<a href="https://agentmods.dev/skills/0xartex/palmyr/tiktok"><img src="https://agentmods.dev/badge/skills/0xartex/palmyr/tiktok/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/0xartex/palmyr/tiktok"><img src="https://agentmods.dev/badge/skills/0xartex/palmyr/tiktok.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 | $0.00024 | $0.00659 |
| Opus 5.5 | $0.00010 | $0.00264 |
| Sonnet 5.5 | $0.00005 | $0.00132 |
| Haiku 4.5 | $0.00002 | $0.00066 |
Grade A, and why
tiktok-automation 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 2mo 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.
What it actually says
TikTok Automation API
Use https://tiktok.palmyr.ai for TikTok automation. Paid actions use x402 USDC payments. There are no API keys or subscriptions.
Discover and call
npx agentcash@latest add https://tiktok.palmyr.ai
npx agentcash@latest discover https://tiktok.palmyr.ai
npx agentcash@latest check https://tiktok.palmyr.ai/v1/post
AgentCash handles the x402 challenge and payment automatically:
npx agentcash@latest fetch https://tiktok.palmyr.ai/v1/connect \
-m POST \
-b '{"account_id":"my-brand"}'
Open the returned connect_url, scan the TikTok QR code, then poll the returned poll_url. The wallet that pays for the connection owns the account; use the same wallet for later actions.
Post a public video URL after the account is connected:
npx agentcash@latest fetch https://tiktok.palmyr.ai/v1/post \
-m POST \
-b '{"account_id":"my-brand","caption":"We shipped.","video_url":"https://example.com/launch.mp4"}'
TikTok actions are asynchronous. Poll poll_url until done is true. Never resubmit an accepted action while it is still running; payment has already settled for that operation.
Endpoints
| Method | Path | Price |
|---|---|---|
| POST | /v1/connect |
$0.01 |
| GET | /v1/connect/:token |
free |
| GET | /v1/accounts |
$0.001 |
| POST | /v1/post |
$0.01 |
| GET | /v1/operations/:id |
free |
| POST | /v1/follow |
$0.001 |
| POST | /v1/like |
$0.001 |
| POST | /v1/delete |
$0.001 |
| POST | /v1/profile |
$0.001 |
| POST | /v1/avatar |
$0.005 |
| POST | /v1/analytics |
$0.005 |
| GET | /v1/series |
$0.001 |
| GET | /v1/hooks |
$0.001 account/tag, $0.05 niche |
| GET | /v1/niches |
free |
| GET | /v1/scheduled |
$0.001 |
| POST | /v1/scheduled/:id/cancel |
$0.001 |
| GET | /v1/health |
free |
Machine-readable contract: OpenAPI and x402 discovery.
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.
- 2mo ago First seen · 62 lines · 24 tokens per session scan A 2af44d096d3f
tiktok-automation is a skill published in the GitHub repository 0xArtex/Palmyr (6 stars, last pushed 1mo ago), licensed MIT. It adds 24 tokens to every session and 659 once invoked, about $0.0001 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 2026-08-31.
tiktok-automation compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| tiktok-automation0xArtex/Palmyr | Skill | 6 | 1mo ago | MIT | A | 24 | Claude Code, Codex |
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| next-partial-prefetching-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 103 | Claude Code |