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.
git clone --depth 1 https://github.com/alphaaiservice/cortexWrote 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/commands/alphaaiservice/cortex/init-project)<a href="https://agentmods.dev/commands/alphaaiservice/cortex/init-project"><img src="https://agentmods.dev/badge/commands/alphaaiservice/cortex/init-project/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/commands/alphaaiservice/cortex/init-project"><img src="https://agentmods.dev/badge/commands/alphaaiservice/cortex/init-project.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 | $0.00071 | $0.14183 |
| Opus 5.5 | $0.00028 | $0.05673 |
| Sonnet 5.5 | $0.00014 | $0.02837 |
| Haiku 4.5 | $0.00007 | $0.01418 |
Grade A, and why
init-project scanned grade A with 1 finding 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
export const api = axios.create({ How it starts
The opening of the file, as written. The whole thing — 1,262 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Project Initialization — Alpha AI Standards
Initialize project: $ARGUMENTS
Mode Detection
Automatically detect whether this is a new project or existing project:
# Check if target directory has existing code
ls $ARGUMENTS/app/ 2>/dev/null || ls $ARGUMENTS/src/ 2>/dev/null || ls $ARGUMENTS/package.json 2>/dev/null
Step 0: Detect Backend Language
Before scaffolding, detect the backend language:
--langflag: If provided, use it directly (python, nestjs, springboot)- Existing project: Detect from files:
- requirements.txt / pyproject.toml / app/main.py → python-fastapi
- package.json with @nestjs/ / nest-cli.json / src/main.ts → nodejs-nestjs
- build.gradle.kts / pom.xml with spring-boot / src/main/java/ → java-springboot
- New project without --lang: Default to python-fastapi
- Load reference files:
skills/alpha-architecture/references/LANG_PROFILE_{LANG}.md→ directory structure, deps, configs, Docker, verify commandsskills/alpha-architecture/references/CODE_PATTERNS_{LANG}.md→ code patterns
Step 0.1: Database Selection
Before scaffolding, ask the user which database(s) this project will use:
╔══════════════════════════════════════════════════════════════╗
║ DATABASE SELECTION ║
╠══════════════════════════════════════════════════════════════╣
║ ║
║ Which database(s) will this project use? ║
║ ║
║ 1. MySQL only — Relational data, strict schemas, ║
║ transactions, JOINs. Best for: e-comm, ║
║ SaaS, financial apps, CRUD apps ║
║ ║
║ 2. MongoDB only — Flexible documents, nested objects, ║
║ schema-less. Best for: CMS, logs, ║
║ profiles, analytics, real-time apps ║
║ ║
║ 3. Both (MySQL + MongoDB) — MySQL for transactional data, ║
║ MongoDB for logs/profiles/flexible docs ║
║ ║
║ Enter 1, 2, or 3: ║
╚══════════════════════════════════════════════════════════════╝
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.
- 1mo ago First seen · 1,262 lines · 71 tokens per session scan A 84e3fec4d606
init-project is a command published in the GitHub repository alphaaiservice/cortex (1 stars, last pushed 2mo ago), licensed MIT. It adds 71 tokens to every session and 14,183 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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