x-algorithm-skills: Instructions file for Codex

AGENTS.md

x-algorithm-skills AGENTS.md is an instructions file for Codex, OpenCode from ElemontCapital/x-algorithm-skills. It costs 1,220 tokens per session, scanned A, original, Apache-2.0.

A collection of instructions and specialized AI roles for working with X-related systems, including content growth, recommendation algorithms, system design, and machine learning operations. It follows the Agent Skills Standard, which lets AI coding tools use structured domain guidance.

In plain words
What is it for?
Optimizing X posts, designing retrieval and timeline systems, studying ranking models, and handling experimental machine-learning work.
Why use it?
It gives an AI coding assistant focused guidance for different parts of a complex X-related project instead of relying only on general programming knowledge.

Instructions file for CodexOpenCode

Written for Codex and OpenCode: the file is AGENTS.md. Also seen: mentions Claude Code; built for roo code.

This is ElemontCapital/x-algorithm-skills's own configuration. It tells Codex and OpenCode how to work on x-algorithm-skills itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything x-algorithm-skills configures β†’

Reuse

Borrowing it

Nothing to install: this file belongs to ElemontCapital/x-algorithm-skills. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/ElemontCapital/x-algorithm-skills/main/AGENTS.md
Clone the repo
git clone --depth 1 https://github.com/ElemontCapital/x-algorithm-skills

Made for: Codex, OpenCode.

Wrote this? Show the measurements

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README.md
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Per session 1,220 This file is loaded in full into every session.
When invoked 1,220 The same file β€” it is already loaded in full.
Security scan A 0 findings. A grade says what 26 rules found in the file β€” 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 $0.01220 $0.01220
Opus 5.5 $0.00488 $0.00488
Sonnet 5.5 $0.00244 $0.00244
Haiku 4.5 $0.00122 $0.00122

Measured 1mo ago against content hash d83dde3bad04, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

x-algorithm-skills AGENTS.md scanned grade A with 0 findings against 26 rules in 11 categories β€” prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency β€” 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.

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 Β· 84 lines

How it starts

The opening of the file, as written. The whole thing β€” 84 lines β€” stays where its author put it; the contents beside it link to each section on GitHub.

πŸ€– Agent Integration Guide

This repository follows the Agent Skills Standard, a specification for providing AI agents with domain-specific "expertise" through structured documentation and reference material.

While optimized for Claude Code via its native plugin system, this repository is designed to be "Agent Agnostic"β€”working seamlessly with Cursor, GitHub Copilot, Windsurf, Roo Code, and custom LLM implementations.


🧠 Core Agent Personas

Following the Vercel Agent Skills model, we categorize our skills into specialized personas.

You can "summon" these personas by providing the corresponding SKILL.md files to your agent.

πŸ“ˆ The Growth Architect (x-post-optimizer)

  • Best for: Viral content strategy and reach optimization.
  • Key Files: .../x-post-optimizer/SKILL.md, references/engagement-multipliers.md

πŸ—οΈ The System Designer (x-architecture & x-retrieval-systems)

  • Best for: Understanding the macro-flow from retrieval to timeline delivery.
  • Key Files: .../x-architecture/SKILL.md, .../x-retrieval-systems/SKILL.md

🧠 The ML Specialist (x-ranking-engine & x-experimental-ops)

  • Best for: Deep-dives into MaskNet scoring and A/B test analysis.
  • Key Files: .../x-ranking-engine/SKILL.md, .../x-experimental-ops/SKILL.md

πŸ› οΈ The Algorithm Engineer (x-dev-engineering)

  • Best for: Writing Rust/Scala code and modifying Thrift schemas.
  • Key Files: .../x-dev-engineering/SKILL.md, references/rust-pipeline.md

βš–οΈ The Trust & Safety Auditor (x-data-signals & x-safety-filtering)

  • Best for: Investigating shadowbans, reputation, and toxicity filtering.
  • Key Files: .../x-data-signals/SKILL.md, .../x-safety-filtering/SKILL.md

πŸ“‹ Skill Discovery Dashboard

Skill Role Core Capability
x-post-optimizer Content Strategist Optimizes reach via HeavyRanker weight alignment.
x-architecture System Architect Maps HomeMixer and candidate generation flows.
x-ranking-engine ML Engineer Audits MaskNet scoring and MTL probability heads.
x-dev-engineering Software Engineer Assists with Rust/Scala interop and Thrift definitions.
x-data-signals Data Scientist Explains SimClusters, TweepCred, and RealGraph.
x-safety-filtering Safety Analyst Decodes VisibilityLib labels and shadowban logic.
x-retrieval-systems Search Engineer Manages Earlybird indices and ANN vector search.
x-experimental-ops Product Manager Tracks DuckDuckGoose tests and "North Star" metrics.

Read the full file on GitHub Β· 84 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. 1mo ago First seen Β· 84 lines Β· 1,220 tokens per session scan A d83dde3bad04

Subscribe to this mod's changes

x-algorithm-skills AGENTS.md is an instructions file published in the GitHub repository ElemontCapital/x-algorithm-skills (2 stars, last pushed 3mo ago), licensed Apache-2.0. It adds 1,220 tokens to every session, about $0.0049 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.

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