patterns

A collection of coding-agent patterns and templates for building agents with Claude Code. It covers task tracking, quality checks, and calling another AI model through the claudish command-line tool.

In plain words
What is it for?
Use it when implementing an agent, adding Tasks-based progress tracking, setting up checks, or invoking an external model through claudish.
Why use it?
It provides established workflow examples for agent projects instead of leaving each agent to invent its own process. It also shows how to track progress and run external model calls consistently.

Skill for Claude CodeCodex

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/madappgang/claude-code/patterns
Any agent
npx skills add MadAppGang/claude-code --skill patterns
Clone the repo
git clone --depth 1 https://github.com/MadAppGang/claude-code

Made for: Claude Code, Codex.

Per session 36 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,532 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 $0.00036 $0.01532
Opus 5 $0.00018 $0.00766
Sonnet 5 $0.00007 $0.00306
Haiku 4.5 $0.00004 $0.00153

Measured 2d ago against content hash f271b7483364, 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 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.

plugins/agentdev/skills/patterns/SKILL.md · 232 lines

How it starts

The opening of the file, as written. The whole thing — 232 lines — stays where its author put it; the contents beside it link to each section on GitHub.

plugin: agentdev updated: 2026-02-11

Agent Patterns

External Model Invocation Pattern

External AI models are invoked via Bash+claudish CLI by the orchestrator (e.g., /team). Agents do NOT need special blocks to support external models — the orchestrator calls claudish directly:

# Orchestrator calls claudish directly via Bash tool
claudish --model {MODEL_ID} --stdin --quiet < prompt.md > result.md

This is 100% reliable because it's a deterministic CLI invocation, not a prompt-based delegation.


Tasks Integration Pattern

Every agent must track workflow progress.

<critical_constraints>
  <tasks_requirement>
    You MUST use Tasks to track your workflow.

    **Before starting**, create task list:
    1. Phase 1 description
    2. Phase 2 description
    3. Phase 3 description

    **Update continuously**:
    - Mark "in_progress" when starting
    - Mark "completed" immediately after finishing
    - Keep only ONE task "in_progress" at a time
  </tasks_requirement>
</critical_constraints>

<workflow>
  <phase number="1" name="Phase Name">
    <step>Initialize Tasks with all phases</step>
    <step>Mark PHASE 1 as in_progress</step>
    <step>... perform work ...</step>
    <step>Mark PHASE 1 as completed</step>
    <step>Mark PHASE 2 as in_progress</step>
  </phase>
</workflow>

Quality Checks Pattern (Implementers)

<implementation_standards>
  <quality_checks mandatory="true">
    Before presenting code, perform these checks in order:

    <check name="formatting" order="1">
      <tool>Biome.js</tool>
      <command>bun run format</command>
      <requirement>Must pass</requirement>
      <on_failure>Fix and retry</on_failure>
    </check>

    <check name="linting" order="2">
      <tool>Biome.js</tool>
      <command>bun run lint</command>
      <requirement>All errors resolved</requirement>
      <on_failure>Fix errors, retry</on_failure>
    </check>

    <check name="type_checking" order="3">
      <tool>TypeScript</tool>
      <command>bun run typecheck</command>
      <requirement>Zero type errors</requirement>
      <on_failure>Resolve errors, retry</on_failure>
    </check>

    <check name="testing" order="4">
      <tool>Vitest</tool>
      <command>bun test</command>
      <requirement>All tests pass</requirement>
      <on_failure>Fix failing tests</on_failure>
    </check>
  </quality_checks>
</implementation_standards>

Read the full file on GitHub · 232 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 · 232 lines · 36 tokens per session scan A f271b7483364

Subscribe to this mod's changes

patterns is a skill published in the GitHub repository MadAppGang/claude-code (279 stars, last pushed 5mo ago), licensed MIT. It adds 36 tokens to every session and 1,532 once invoked, about $0.0002 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.

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