agentmods.dev

context-prime

A checklist for giving Claude a working understanding of a software project before it changes code.

In plain words
What is it for?
Use it to review README and instruction files, inspect the repository layout, check configuration and dependencies, identify testing and deployment tools, and load relevant subsystem context.
Why use it?
It reduces mistakes caused by missing project instructions, structure, technologies, configuration, or development conventions.

Cursor rule

5.7k 4mo ago A scan 278 tokens original MIT archived
View the source file steipete/agent-rules
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 rules/steipete/agent-rules/context-prime
Clone the repo
git clone --depth 1 https://github.com/steipete/agent-rules
Per session 278 This file is loaded in full into every session.
When invoked 278 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 $0.00278 $0.00278
Opus 5 $0.00139 $0.00139
Sonnet 5 $0.00056 $0.00056
Haiku 4.5 $0.00028 $0.00028

Measured 2d ago against content hash 4fed1b48be73, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

context-prime 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.

Origin

Copies of this mod

1 near-identical copy found in the catalogue:

project-rules/context-prime.mdc · 49 lines

What it actually says

Context Prime

Prime Claude with comprehensive project understanding.

Standard Context Loading:

  1. Read README.md for project overview
  2. Read CLAUDE.md for AI-specific instructions
  3. List project files excluding ignored paths
  4. Review key configuration files
  5. Understand project structure and conventions

Steps:

  1. Project Overview:

    • Read README.md
    • Identify project type and purpose
    • Note key technologies and dependencies

  2. AI Guidelines:

    • Read CLAUDE.md if present
    • Load project-specific AI instructions
    • Note coding standards and preferences

  3. Repository Structure:

    • Run: git ls-files | head -50 for initial structure
    • Identify main directories and their purposes
    • Note naming conventions

  4. Configuration Review:

    • Package manager files (package.json, Cargo.toml, etc.)
    • Build configuration
    • Environment setup

  5. Development Context:

    • Identify test framework
    • Note CI/CD configuration
    • Review contribution guidelines

Advanced Options:

  • Load specific subsystem context
  • Focus on particular technology stack
  • Include recent commit history
  • Load custom command definitions

Output:

Establish clear understanding of:

  • Project goals and constraints
  • Technical architecture
  • Development workflow
  • Collaboration parameters
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 · 49 lines · 278 tokens per session scan A 4fed1b48be73

Subscribe to this mod's changes

context-prime is a cursor rule published in the GitHub repository steipete/agent-rules (5,696 stars, last pushed 4mo ago), licensed MIT. It adds 278 tokens to every session, about $0.0014 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.

Code reviewDevOps and cloudTestingagentclaudecodecursorllmsrules
Related

Other cursor rules, from other repositories

code-optimization

Guidelines for optimizing duplicate and poorly structured code.

leshchenko1979/fast-mcp-telegram · 0 tokens

paperfit

PaperFit project rule for LaTeX visual typesetting optimization.

OpenRaiser/PaperFit · 0 tokens

read-xlsx

Reading, writing, diffing, and repairing spreadsheets (.xlsx) for AI agents via the xfa MCP server.

senoff/xlsx-for-ai · 22 tokens

coding-standards-demo.crux

Team coding standards and best practices.

zotoio/CRUX-Compress · 6 tokens

testing

Always use vitest for testing. Use describe/it blocks.

nirelbaz/promptpit · 0 tokens

create-rule-agent

This rule is responsible for creating and updating Cursor rules. Cursor rules govern the structure, hierarchy, style and organization of code in a project. This rule should be invoked in Agent mode when: 1. a user wants to create a new cursor rule, 2. a user wants to update or change an existing rule, 3. user wants…

usrrname/cursorrules · 3,429 tokens