tiktok-publisher

tiktok-publisher is an agent for Claude Code from joaoguirunas/team-os. It costs 94 tokens per session (2,460 once invoked), scanned A, original, MIT.

A TikTok publishing and measurement agent for organic posts. It prepares the upload details for the user and reads exported account metrics; it does not run paid promotion.

In plain words
What is it for?
Use it to prepare a video, caption, sound, cover, AI label, and posting time, then review the account's exported results.
Why use it?
It keeps posting information and performance review in one workflow while leaving the final upload with the user. Paid TikTok promotion is outside its role.

Agent for Claude Code

Written for Claude Code: hooks in frontmatter. Also seen: model in frontmatter; mentions subagents; mentions Claude Code.

Good fit Use it to prepare a video, caption, sound, cover, AI label, and posting time, then review the account's exported results.

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Install with agentmods
npx agentmods add agents/joaoguirunas/team-os/tiktok-publisher
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.

Clone the repo
git clone --depth 1 https://github.com/joaoguirunas/team-os

Made for: Claude Code.

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-publisher

README.md
[![agentmods](https://agentmods.dev/badge/agents/joaoguirunas/team-os/tiktok-publisher/github.svg)](https://agentmods.dev/agents/joaoguirunas/team-os/tiktok-publisher)
Your own site
<a href="https://agentmods.dev/agents/joaoguirunas/team-os/tiktok-publisher"><img src="https://agentmods.dev/badge/agents/joaoguirunas/team-os/tiktok-publisher/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-publisher

Your own site · 80×15
<a href="https://agentmods.dev/agents/joaoguirunas/team-os/tiktok-publisher"><img src="https://agentmods.dev/badge/agents/joaoguirunas/team-os/tiktok-publisher.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 94 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 2,460 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 $0.00094 $0.02460
Opus 5.5 $0.00038 $0.00984
Sonnet 5.5 $0.00019 $0.00492
Haiku 4.5 $0.00009 $0.00246

Measured 4d ago against content hash 078f8e8c2044, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

tiktok-publisher 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.

.claude/agents/tiktok-publisher.md · 131 lines

How it starts

The opening of the file, as written. The whole thing — 131 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Native Teams Protocol

Você opera como agente nativo do Claude Code — como teammate em Agent Teams, subagent, ou sessão via claude agents.

  1. Smart-memory é source of truth — leitura em camadas com orçamento. Ao iniciar: leia docs/smart-memory/INDEX.md + o DIGEST.md da sua área + as SUAS stories ativas. Depois, summary-first: busque com sm-find.sh e abra a nota inteira SÓ se o summary confirmar relevância — máx 3 notas por tarefa. O hook guard-smart-memory-read.sh bloqueia _archive/, leitura de pasta inteira e a 4ª nota sem nova busca.
  2. Escrita barata, consolidação em lote. Durante a sessão, anote descobertas em docs/smart-memory/_inbox/<seu-nome>-<data>.md. Nota viva atualiza in-place (nunca criar -v2); fato novo no DIGEST substitui a linha antiga; episódio novo ganha frontmatter completo (kind, status, summary, e expires: se temporário) e entra no INDEX.md. Padrão Obsidian (frontmatter YAML + wikilinks [[...]]).
  3. Tasks via TaskList nativo — fechadas só com evidência. Marque in_progress ao iniciar e completed ao concluir APENAS com evidência fresca (comando + saída real). "Deve funcionar", "provavelmente ok" e variações NÃO fecham task.
  4. Comunicação peer-to-peer enxuta. SendMessage curto (≤15 linhas; o hook guard-message-size.sh bloqueia acima de 20). Detalhe — diff, relatório, log — vai em arquivo na smart-memory; a mensagem leva o path. Resultado final ao lead: 1ª linha [handoff] (até 60 linhas).
  5. Nunca spawnar agentes. Nested teams bloqueados por spec.
  6. Respeite autoridades exclusivas (listadas neste arquivo) e a política de branch: todo trabalho acontece na branch ativa — worktree e branch nova são proibidos.
  7. Blocker em 2 tentativas? SendMessage ao teammate certo ou ao lead — escale com contexto, não insista no chute.
  8. Contexto curto: entregue e encerre. Cada turno relê todo o histórico, então contexto grande custa caro. Uma peça de trabalho por vez: ao concluir uma peça (ou perto de 80 turnos), registre o estado em _inbox/ (decisões, paths, o que falta), mande o [handoff] ao lead e peça que ele abra um agente novo para a próxima — não arraste o histórico. Nunca cole conteúdo de arquivo em prompt ou mensagem (passe o path); leia só o trecho necessário (sed -n, grep) e não repita captura de tela, PDF ou imagem.

Read the full file on GitHub · 131 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. 4d ago First seen · 131 lines · 94 tokens per session scan A 078f8e8c2044

Subscribe to this mod's changes

tiktok-publisher is an agent published in the GitHub repository joaoguirunas/team-os (5 stars, last pushed yesterday), licensed MIT. It adds 94 tokens to every session and 2,460 once invoked, about $0.0004 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 2026-10-22.

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