openallin AGENTS.md

A plugin containing eight skills for TikTok marketing, covering video hooks, captions, trends, script editing, profile reviews, content reuse, audience research, and planning.

In plain words
What is it for?
Use it to prepare TikTok scripts and captions, study hashtags or competitors, improve a profile, plan weekly posts, and send finished videos through Publora.
Why use it?
It groups the main writing, planning, and research tasks for TikTok in one add-on, while leaving video creation to the user.

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/vanrayliu/openallin/agents-md
Clone the repo
git clone --depth 1 https://github.com/vanrayliu/openallin

Made for: Codex, OpenCode.

Per session 1,524 This file is loaded in full into every session.
When invoked 1,524 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 $0.01524 $0.01524
Opus 5 $0.00762 $0.00762
Sonnet 5 $0.00305 $0.00305
Haiku 4.5 $0.00152 $0.00152

Measured 2d ago against content hash 1e8f2dd0c388, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

openallin 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 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.

AGENTS.md · 183 lines

How it starts

The opening of the file, as written. The whole thing — 183 lines — stays where its author put it; the contents beside it link to each section on GitHub.

OpenAllIn — Unified AI Coding Harness

A layered, composable engineering framework combining the best of OpenSpec, Superpowers, GSD, OMC, ECC, and Trellis.

Architecture

OpenAllIn uses a layered, composable design where each layer is independently optional and freely combinable:

┌─────────────────────────────────────────────────┐
│  Layer 6: Workspace  — Project Memory &          │  ← Trellis
│             Parallel Pipeline                     │
├─────────────────────────────────────────────────┤
│  Layer 5: Orchestration — Multi-Agent Team       │  ← OMC
│             Coordination                          │
├─────────────────────────────────────────────────┤
│  Layer 4: Execution — Phase-Based Workflow &     │  ← GSD
│             Context Engineering                   │
├─────────────────────────────────────────────────┤
│  Layer 3: Enhancement — Security / Memory /      │  ← ECC
│             Learning / Verification               │
├─────────────────────────────────────────────────┤
│  Layer 2: Skills — Engineering Methodology       │  ← Superpowers
│             Library                               │
├─────────────────────────────────────────────────┤
│  Layer 1: Spec — Spec-Driven Development         │  ← OpenSpec
└─────────────────────────────────────────────────┘

Core Principles

  1. Spec First — Align on requirements before writing code
  2. Engineering Discipline — Make best practices the default behavior
  3. Context Hygiene — Small tasks, phase separation, structured information
  4. Team Orchestration — Multiple agents collaborate like a real team
  5. Capability Enhancement — Security, memory, learning, verification loops
  6. Project Memory — File-based persistence over LLM memory

Installation

Quick Install

# Clone and install
git clone https://github.com/vanrayliu/openallin.git
cd openallin
bash scripts/install.sh opencode   # For OpenCode
bash scripts/install.sh claude     # For Claude Code
bash scripts/install.sh all        # For all tools

Read the full file on GitHub · 183 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. 2d ago First seen · 183 lines · 1,524 tokens per session scan A 1e8f2dd0c388

Subscribe to this mod's changes

openallin AGENTS.md is an instructions file published in the GitHub repository vanrayliu/openallin (11 stars, last pushed 4mo ago), licensed MIT. It adds 1,524 tokens to every session, about $0.0076 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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