tiktok-gen AGENTS.md

tiktok-gen AGENTS.md is an instructions file for Codex, OpenCode from kangarooking/tiktok-gen. It costs 650 tokens per session, scanned A, original, Apache-2.0.

Repository instructions for a project with a React and TypeScript frontend and a FastAPI backend.

In plain words
What is it for?
Setting up, developing, building, testing, and reviewing the project's frontend, backend, database, and documentation.
Why use it?
They explain where code belongs, which commands to run, and which generated files should stay out of reviews.

Instructions file for CodexOpenCode

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.

agentmods
npx agentmods add instructions/kangarooking/tiktok-gen/agents-md
Clone the repo
git clone --depth 1 https://github.com/kangarooking/tiktok-gen

Made for: Codex, OpenCode.

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-gen AGENTS.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/kangarooking/tiktok-gen/agents-md.svg)](https://agentmods.dev/instructions/kangarooking/tiktok-gen/agents-md)
Your own site
<a href="https://agentmods.dev/instructions/kangarooking/tiktok-gen/agents-md"><img src="https://agentmods.dev/badge/instructions/kangarooking/tiktok-gen/agents-md.svg" alt="Measured on agentmods" height="20"></a>
Per session 650 This file is loaded in full into every session.
When invoked 650 The same file — it is already loaded in full.
Security scan A 0 findings. Scan, not verified.
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 $0.00650 $0.00650
Opus 5 $0.00325 $0.00325
Sonnet 5 $0.00130 $0.00130
Haiku 4.5 $0.00065 $0.00065

Measured 5d ago against content hash b49ae1ee0302, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-05, from the pricing page.

Security

Grade A, and why

tiktok-gen AGENTS.md 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 5d 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.

AGENTS.md · 46 lines

How it starts

The opening of the file, as written. The whole thing — 46 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Repository Guidelines

Project Structure & Module Organization

This repository has a split architecture:

  • frontend/: React + TypeScript (Vite). Main UI code is in pages/, shared UI in components/, API calls in services/, and app bootstrap in App.tsx and index.tsx.
  • backend/: FastAPI service. API routes live in app/api/v1/, business logic in app/services/, integrations in app/integrations/, data models in app/models/, and schemas in app/schemas/.
  • docs/: product, API, and database documentation (schema.sql, interface docs).

Keep generated artifacts (frontend/dist/, node_modules/, __pycache__/) out of code reviews unless explicitly relevant.

Build, Test, and Development Commands

Frontend (frontend/):

  • npm install: install dependencies.
  • npm run dev: start local Vite dev server.
  • npm run build: produce production build in frontend/dist/.
  • npm run preview: preview the production bundle.

Backend (backend/):

  • pip install -r requirements.txt: install Python dependencies.
  • python init_db.py: initialize database tables.
  • uvicorn app.main:app --reload --host 0.0.0.0 --port 3001: run API locally.
  • celery -A app.tasks worker --loglevel=info --pool=solo: run async worker.

Coding Style & Naming Conventions

  • Python: PEP 8, 4-space indentation, snake_case for functions/modules, PascalCase for classes.
  • TypeScript/React: 2-space indentation, PascalCase for components (AssetsStudio.tsx), camelCase for variables/functions.
  • Keep route files resource-oriented (assets.py, projects.py) and services action-oriented (generation_service.py).

Testing Guidelines

  • Backend test stack is pytest + pytest-asyncio.
  • Place tests under backend/tests/ using test_*.py naming.
  • Run tests with: pytest backend/tests -v.
  • Add at least one API-level test for new endpoints and one service-level test for non-trivial logic.

Commit & Pull Request Guidelines

Git history is not available in this exported directory, so follow this standard:

  • Commit format: type(scope): short description (example: feat(api): add avatar upload validation).
  • Use focused commits; avoid mixing frontend/backend refactors with feature changes.
  • PRs should include: summary, changed paths, verification steps, linked issue, and screenshots for UI changes.
  • Call out config changes (.env.example, API keys, ports) explicitly in the PR description.

Read the full file on GitHub · 46 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. 5d ago First seen · 46 lines · 650 tokens per session scan A b49ae1ee0302

Subscribe to this mod's changes

tiktok-gen AGENTS.md is an instructions file published in the GitHub repository kangarooking/tiktok-gen (88 stars, last pushed 3mo ago), licensed Apache-2.0. It adds 650 tokens to every session, about $0.0032 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 2026-08-30.

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