project-conventions

project-conventions is a skill for Claude Code, Codex from elbruno/ElBruno.ModelContextProtocol. It costs 12 tokens per session (346 once invoked), scanned A, a copy of project-conventions, MIT.

A template for recording the coding rules and patterns used in a specific codebase. It covers style, errors, tests, file layout, examples, and practices to avoid.

In plain words
What is it for?
Documenting project conventions for coding agents, including how to structure files, handle errors, write tests, format code, and avoid known anti-patterns.
Why use it?
Without written project rules, an agent may produce code that works but does not fit the rest of the project. This gives it the missing context, although the template must first be filled in.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Documenting project conventions for coding agents, including how to structure files, handle errors, write tests, format code, and avoid known anti-patterns.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/elbruno/elbruno.modelcontextprotocol/project-conventions
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.

Any agent
npx skills add elbruno/ElBruno.ModelContextProtocol --skill project-conventions
Clone the repo
git clone --depth 1 https://github.com/elbruno/ElBruno.ModelContextProtocol

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for project-conventions

README.md
[![agentmods](https://agentmods.dev/badge/skills/elbruno/elbruno.modelcontextprotocol/project-conventions/github.svg)](https://agentmods.dev/skills/elbruno/elbruno.modelcontextprotocol/project-conventions)
Your own site
<a href="https://agentmods.dev/skills/elbruno/elbruno.modelcontextprotocol/project-conventions"><img src="https://agentmods.dev/badge/skills/elbruno/elbruno.modelcontextprotocol/project-conventions/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.

agentmods 80×15 button for project-conventions

Your own site · 80×15
<a href="https://agentmods.dev/skills/elbruno/elbruno.modelcontextprotocol/project-conventions"><img src="https://agentmods.dev/badge/skills/elbruno/elbruno.modelcontextprotocol/project-conventions.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 12 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 346 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin 100% 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 5.1 $0.00012 $0.00346
Opus 5.5 $0.00005 $0.00138
Sonnet 5.5 $0.00002 $0.00069
Haiku 4.5 $0.00001 $0.00035

Measured 1mo ago against content hash 5feb0b864a03, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, 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 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.

Origin

This is a copy

100% identical to project-conventions — 0 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.

.squad-templates/skills/project-conventions/SKILL.md · 57 lines

What it actually says

Context

This is a starter template. Replace the placeholder patterns below with your actual project conventions. Skills train agents on codebase-specific practices — accurate documentation here improves agent output quality.

Patterns

[Pattern Name]

Describe a key convention or practice used in this codebase. Be specific about what to do and why.

Error Handling

Testing

Code Style

File Structure

Examples

// Add code examples that demonstrate your conventions

Anti-Patterns

  • [Anti-pattern] — Explanation of what not to do and why.
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 · 57 lines · 12 tokens per session scan A 5feb0b864a03

Subscribe to this mod's changes

project-conventions is a skill published in the GitHub repository elbruno/ElBruno.ModelContextProtocol (8 stars, last pushed 3mo ago), licensed MIT. It adds 12 tokens to every session and 346 once invoked, about $0.0000 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to project-conventions, differing in 0 lines, and is treated as a copy.

Related

Other skills, from other repositories

autorag-setup

Install and configure AutoRAG, register its Lite MCP server for external agents, or repair its single search model, approved roots, indexes, datasources, and health checks without exposing credentials. Use when AutoRAG or MCP is missing, init/refresh/health fails, indexes are stale, or the user wants to add folders or…

Marker-Inc-Korea/AutoRAG · 75 tokens

autorag-lite-setup

Install and register the model-free AutoRAG Lite MCP server, configure approved roots and datasources, build indexes, and verify MCP discovery and search. Use when autorag-mcp is missing, MCP connection fails, indexes are stale, or the user wants document search without configuring a search model.

Marker-Inc-Korea/AutoRAG · 65 tokens

rubyllm

Build and maintain Ruby or Rails applications with the RubyLLM AI framework. Use for chats, agents, tools, MCP servers, structured output, judgments, evaluations, media generation, transcription, OCR, moderation, embeddings, reranking, tracing, Rails integration, and RubyLLM upgrades; not for contributing to the…

crmne/ruby_llm · 70 tokens

esm

Comprehensive toolkit for protein language models including ESM3 (generative multimodal protein design across sequence, structure, and function) and ESM C (efficient protein embeddings and representations). Use this skill when working with protein sequences, structures, or function prediction; designing novel…

synthetic-sciences/openscience · 86 tokens

extract-entities

Extract people, organizations, dates, amounts, or custom labels from a document through the connected Superlinked MCP edge, returning a compact table instead of reading the full document into context. Use when the user asks to list, extract, or tabulate entities from a file.

superlinked/sie · 58 tokens

parse-document

Convert a PDF, scan, image of a page, or office file to clean markdown through the connected Superlinked MCP edge, so the source document is not read into model context directly. Use when the user asks to read, parse, OCR, extract from, summarize, or answer questions about a document.

superlinked/sie · 64 tokens