patterns

patterns is a skill for Claude Code, Codex from jmylchreest/aide. It costs 17 tokens per session (1,434 once invoked), scanned A, original, MIT.

A codebase-analysis workflow that uses static-analysis results to find complexity, duplicated code, tight connections between parts, and possible secrets. Static analysis examines source code without running the whole application.

In plain words
What is it for?
Use it after running the available analyzers to search findings and investigate complexity hotspots, coupling, duplicate code, or possible exposed secrets.
Why use it?
It helps reveal maintenance and security problems that may be difficult to spot during ordinary editing or review.

Skill for Claude CodeCodex

Part of the aide plugin — 26 skills, 9 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/jmylchreest/aide/patterns
Any agent
npx skills add jmylchreest/aide --skill patterns
Clone the repo
git clone --depth 1 https://github.com/jmylchreest/aide

Made for: Claude Code, Codex.

Or install aide, the plugin that ships this one along with the rest of its 26 skills, 9 agents.

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 patterns

README.md
[![agentmods](https://agentmods.dev/badge/skills/jmylchreest/aide/patterns.svg)](https://agentmods.dev/skills/jmylchreest/aide/patterns)
Your own site
<a href="https://agentmods.dev/skills/jmylchreest/aide/patterns"><img src="https://agentmods.dev/badge/skills/jmylchreest/aide/patterns.svg" alt="Measured on agentmods" height="20"></a>
Per session 17 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,434 The whole file, excluding the scripts and references it only reads on demand.
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 $0.00017 $0.01434
Opus 5 $0.00009 $0.00717
Sonnet 5 $0.00003 $0.00287
Haiku 4.5 $0.00002 $0.00143

Measured 5d ago against content hash f90d184e940e, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

patterns 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 5d 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.

skills/patterns/SKILL.md · 183 lines

How it starts

The opening of the file, as written. The whole thing — 183 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Pattern Analysis

Recommended model tier: balanced (sonnet) - this skill combines search with structured analysis

Analyze codebase patterns using static analysis findings. Surface complexity hotspots, code duplication, coupling issues, and potential secrets. Use this skill to understand code health and identify areas that need attention.

Prerequisites

Findings must be generated first by running analyzers via the CLI:

# Run all analyzers
./.aide/bin/aide findings run --path .

# Run specific analyzers
./.aide/bin/aide findings run --path . --analyzer complexity
./.aide/bin/aide findings run --path . --analyzer coupling
./.aide/bin/aide findings run --path . --analyzer secrets
./.aide/bin/aide findings run --path . --analyzer clones

Binary location: The aide binary is at .aide/bin/aide. If it's on your $PATH, you can use aide directly.

Available Tools

1. Search Findings (mcp__plugin_aide_aide__findings_search)

Full-text search across all findings. Supports Bleve query syntax for advanced searches.

Parameters:

  • query (required) — Search term or Bleve query
  • analyzer (optional) — Filter to one analyzer: complexity, coupling, secrets, clones
  • severity (optional) — Filter by severity: info, warning, critical
  • file (optional) — Filter by file path substring
  • limit (optional) — Max results (default 20)

Example usage:

Search for: "high complexity"
-> findings_search query="complexity" severity="warning"
-> Returns: functions with high cyclomatic complexity, with file:line

2. List Findings (mcp__plugin_aide_aide__findings_list)

List findings with filters. Use when you want to browse rather than search.

Parameters:

  • analyzer (optional) — Filter to one analyzer
  • severity (optional) — Filter by severity
  • file (optional) — Filter by file path substring
  • limit (optional) — Max results (default 20)
  • offset (optional) — Pagination offset

Example usage:

Read the full file on GitHub · 183 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. 5d ago First seen · 183 lines · 17 tokens per session scan A f90d184e940e

Subscribe to this mod's changes

patterns is a skill published in the GitHub repository jmylchreest/aide (16 stars, last pushed 4d ago), licensed MIT. It adds 17 tokens to every session and 1,434 once invoked, about $0.0001 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.

Related

Other skills, from other repositories

rulesync

Generates and syncs AI rule configuration files (.cursorrules, CLAUDE.md, copilot-instructions.md) across 20+ coding tools from a single source. Use when syncing AI rules, running rulesync commands, importing or generating rule files, or managing shared AI coding configurations.

dyoshikawa/rulesync · 64 tokens

establishing-project-context

Use when the user asks to establish shared project language, or project work exposes a conflicting, renamed, or deprecated domain term that needs active semantic modeling. Routine small tasks stay on the fast path.

GanyuanRan/Aegis · 45 tokens

loop

Full execution protocol for MODE: LOOP — the compound-engineering loop: brainstorm → plan → build → review → improve, iterating under defense-in-depth stop conditions with generator/critic separation, durable resumable state, and mandatory compounding learning capture. Loaded on demand by the architect when the loop…

ZaxbyHub/opencode-swarm · 72 tokens

restore-internals-seams-in-finally-blocks-after-each-test

When delegating a task affected by this skill, include.

ZaxbyHub/opencode-swarm · 26 tokens

loongsuite-pilot-insight

基于 LoongSuite Pilot / AI Coding Agent 日志生成事件洞察、组织洞察、数据质量、研发效能和 AI Native 使用类 SLS 报表时使用;包含 AI Coding 事件表语义,以及团队报表可选的部门维表、deptuser 组织关系、指标口径和公共 CTE,通常与 sls-dashboard-builder 一起使用。.

alibaba/loongsuite-pilot · 91 tokens

map-fast

Minimal workflow for small, low-risk changes — no planning, no learning.

azalio/map-framework · 17 tokens