project-conventions

A skill that teaches a coding agent to find and follow a project's existing coding rules, file structure, naming, and team practices.

In plain words
What is it for?
Use it before making code changes to inspect configuration, documentation, package settings, and existing code and test patterns.
Why use it?
It reduces changes that conflict with the conventions already used in the codebase.

Skill for Claude CodeCodex

Part of the dev-tools plugin — 6 skills, 5 commands, 4 agents shipped together

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 skills/sequenzia/claude-plugins/project-conventions
Any agent
npx skills add sequenzia/claude-plugins --skill project-conventions
Clone the repo
git clone --depth 1 https://github.com/sequenzia/claude-plugins

Made for: Claude Code, Codex.

Or install dev-tools, the plugin that ships this one along with the rest of its 6 skills, 5 commands, 4 agents.

Per session 20 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,500 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin 91% copy Near-identical to another mod 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 $0.00020 $0.01500
Opus 5 $0.00010 $0.00750
Sonnet 5 $0.00004 $0.00300
Haiku 4.5 $0.00002 $0.00150

Measured 2d ago against content hash 601584ef8ed3, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

project-conventions 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

This is a copy

91% identical to project-conventions — 5 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

plugins/dev-tools/skills/project-conventions/SKILL.md · 271 lines

How it starts

The opening of the file, as written. The whole thing — 271 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Project Conventions

This skill guides you in discovering and applying project-specific conventions. Every codebase has its own patterns and practices - your job is to find them and follow them.


Convention Discovery Process

Step 1: Project Configuration

Check these files for explicit conventions:

Code Style:

  • .eslintrc*, eslint.config.* - JavaScript/TypeScript linting rules
  • .prettierrc*, prettier.config.* - Formatting rules
  • pyproject.toml, setup.cfg, .flake8 - Python config
  • .editorconfig - Editor settings
  • ruff.toml, .ruff.toml - Ruff linter config

Project Structure:

  • tsconfig.json - TypeScript paths and settings
  • package.json - Scripts, dependencies
  • pyproject.toml - Python project config

Documentation:

  • CONTRIBUTING.md - Contribution guidelines
  • CLAUDE.md - AI coding guidelines
  • README.md - Project overview
  • docs/ - Extended documentation

Step 2: Existing Code Patterns

Study the codebase to find implicit conventions:

File Organization:

# Find how components are organized
ls -la src/components/

# Find test file patterns
find . -name "*.test.*" -o -name "*_test.*" -o -name "test_*"

# Find how utilities are organized
ls -la src/utils/ src/lib/ src/helpers/

Naming Patterns:

# Find function naming patterns
grep -r "^export function" src/ | head -20
grep -r "^def " src/ | head -20

# Find class naming patterns
grep -r "^export class" src/ | head -20
grep -r "^class " src/*.py | head -20

Import Patterns:

# Find import style (absolute vs relative)
grep -r "^import" src/ | head -30
grep -r "^from \." src/*.py | head -20

Step 3: Similar Features

Find features similar to what you're building:

  1. Search for similar functionality:

    # If building a "user profile" feature
    grep -r "profile" src/
    find . -name "*profile*"
    
  2. Study the implementation:

    • How is it structured?
    • What patterns does it use?
    • How does it handle errors?
    • How is it tested?

Read the full file on GitHub · 271 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 · 271 lines · 20 tokens per session scan A 601584ef8ed3

Subscribe to this mod's changes

project-conventions is a skill published in the GitHub repository sequenzia/claude-plugins (2 stars, last pushed 7mo ago), licensed MIT. It adds 20 tokens to every session and 1,500 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 91% identical to project-conventions, differing in 5 lines, and is treated as a copy.

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