eventyay: Skill for Claude Code

.github/skills/code-review/SKILL.md

code-review is a skill for Claude Code, Codex from fossasia/eventyay. It costs 19 tokens per session (878 once invoked), scanned A, original, Apache-2.0.

A code-review procedure for the Eventyay repository, a software project with its own directory and architecture rules. It checks changed code, tests, database queries, imports, errors, and security-related data access.

In plain words
What is it for?
Use it to review pull requests, verify code and test locations, enforce the eventyay namespace, check tenant isolation with scoped queries, find N+1 queries, and inspect imports and exception handling.
Why use it?
It helps reviewers catch violations of the repository's required structure, unsafe event-data queries, inefficient database access, and unsuitable error handling before changes are accepted.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: mentions AGENTS.md.

This is fossasia/eventyay's own configuration. It tells Claude Code and Codex how to work on eventyay 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 eventyay configures →

About the project

Eventyay is an open-source platform for managing events, including ticket sales and registration, speaker submissions, session schedules, videos, check-ins, badges, exhibitions, and organiser administration. Event organisers use it to run both in-person and online event workflows.

fossasia/eventyay · 1,710 stars · on GitHub · eventyay.com

Reuse

Borrowing it

Nothing to install: this file belongs to fossasia/eventyay. 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/fossasia/eventyay/dev/.github/skills/code-review/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/fossasia/eventyay

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 code-review

README.md
[![agentmods](https://agentmods.dev/badge/skills/fossasia/eventyay/code-review/github.svg)](https://agentmods.dev/skills/fossasia/eventyay/code-review)
Your own site
<a href="https://agentmods.dev/skills/fossasia/eventyay/code-review"><img src="https://agentmods.dev/badge/skills/fossasia/eventyay/code-review/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 code-review

Your own site · 80×15
<a href="https://agentmods.dev/skills/fossasia/eventyay/code-review"><img src="https://agentmods.dev/badge/skills/fossasia/eventyay/code-review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 19 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 878 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00019 $0.00878
Opus 5.5 $0.00008 $0.00351
Sonnet 5.5 $0.00004 $0.00176
Haiku 4.5 $0.00002 $0.00088

Measured 1mo ago against content hash 71d106f8bda1, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

code-review 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.

.github/skills/code-review/SKILL.md · 49 lines

How it starts

The opening of the file, as written. The whole thing — 49 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Code Review Protocol

This skill provides the standard operating procedure for AI agents (like GitHub Copilot, Claude, etc.) performing code reviews on the Eventyay repository.

1. Initial Triage & Architecture Checks

Before reviewing specific business logic, strictly enforce these Non-Negotiable Architecture Rules (from AGENTS.md):

  • Location Verification: New product code must reside under app/eventyay/. Tests must reside under app/tests/. Ensure legacy directories (talk/, video/, src/) are not being actively modified unless requested.
  • Legacy Namespaces: Reject any new imports or logic using pretix.*, pretalx.*, or venueless.*. All new code must use the eventyay.* namespace.
  • Multi-tenancy (Crucial): Any ORM query accessing event-specific data MUST be wrapped securely with django_scopes.scope(event=event). Flag missing scopes immediately.
  • ORM Efficiency: Check for N+1 query vulnerabilities. Ensure select_related and prefetch_related are used appropriately.
  • Error Handling: Reject the use of generic Exception blocks. Code must catch specific exception types.
  • Imports Structure: Imports must be at the top of the file. Local imports inside functions/methods are strictly for resolving circular dependencies.
  • Frontend Hard Rules: No jQuery. No inline scripts in templates. JavaScript must use external ES modules.

2. File-Scoped Standard Enforcement

During the review, you MUST apply the canonical scoped rules based on the files modified in the pull request:

File Type Instruction File to Enforce Key Review Focus
Python (.py) .github/instructions/python.instructions.md Python 3.12 compatibility, correct typing, proper Django 5.2+ usage, Celery task definitions.
JavaScript/Vue (.js, .vue) .github/instructions/js.instructions.md Vue 3 composition API standards, ES modules, strict absence of jQuery.
Django Templates (.html) .github/instructions/django-template.instructions.md Structural integrity, template tag correctness, absence of inline JavaScript.
Jinja Templates (.html, .j2) .github/instructions/jinja.instructions.md Syntax correctness, context safety and proper escaping.
Dockerfile .github/instructions/dockerfile.instructions.md Security, multi-stage build best practices, minimal layer size.
TOML (.toml) .github/instructions/toml.instructions.md Syntax validity, uv dependency alignment (app/pyproject.toml).
Git Commits .github/instructions/git-commit.instructions.md Conventional commit formatting, descriptive bodies.

Read the full file on GitHub · 49 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 · 49 lines · 19 tokens per session scan A 71d106f8bda1

Subscribe to this mod's changes

code-review is a skill published in the GitHub repository fossasia/eventyay (1,710 stars, last pushed today), licensed Apache-2.0. It adds 19 tokens to every session and 878 once invoked, about $0.0001 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 2026-08-30.

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