developer

developer is an agent for Claude Code from MadAppGang/magus. It costs 90 tokens per session (2,717 once invoked), scanned A, original, MIT.

A coding agent for implementing larger changes that span at least three files and include tests.

In plain words
What is it for?
Use it to build new modules or subsystems, such as a caching layer or a validated REST endpoint with error handling and tests.
Why use it?
It keeps repeating the write, test, fix, and lint cycle until the checks pass, reducing the need to manage that process manually.

Agent for Claude Code

Written for Claude Code: ${CLAUDE_PLUGIN_ROOT} variable. Also seen: reads .claude/ paths.

Runs only inside its plugin — its command needs a path that Claude Code sets for a plugin’s own hooks and for nothing else. Install the plugin, not this.

Part of the dev plugin — 19 skills, 15 commands, 12 agents shipped together

Good fit Use it to build new modules or subsystems, such as a caching layer or a validated REST endpoint with error handling and tests.

Compare 6 agents from other repositories ↓
Install

Getting it into your agent

This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.

Claude Code
/plugin marketplace add MadAppGang/magus
Claude Code
/plugin install dev

Made for: Claude Code.

Or install dev, the plugin that ships this one along with the rest of its 19 skills, 15 commands, 12 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 developer

README.md
[![agentmods](https://agentmods.dev/badge/agents/madappgang/magus/developer/github.svg)](https://agentmods.dev/agents/madappgang/magus/developer)
Your own site
<a href="https://agentmods.dev/agents/madappgang/magus/developer"><img src="https://agentmods.dev/badge/agents/madappgang/magus/developer/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 developer

Your own site · 80×15
<a href="https://agentmods.dev/agents/madappgang/magus/developer"><img src="https://agentmods.dev/badge/agents/madappgang/magus/developer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 90 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 2,717 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 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 $0.00090 $0.02717
Opus 5.5 $0.00036 $0.01087
Sonnet 5.5 $0.00018 $0.00543
Haiku 4.5 $0.00009 $0.00272

Measured 3d ago against content hash d9d2be9dc72f, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

developer 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 3d 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

Copies of this mod

1 near-identical copy found in the catalogue:

plugins/dev/agents/developer.md · 287 lines

How it starts

The opening of the file, as written. The whole thing — 287 lines — stays where its author put it; the contents beside it link to each section on GitHub.

<when_to_delegate> Delegate substantial implementation here rather than writing it inline. The agent holds a write-test-fix-lint loop until everything passes, which is hard to sustain in a conversation.

  • "Implement a caching layer with LRU eviction, invalidation hooks, and tests" → multiple files plus a test suite.
  • "Build a REST endpoint with validation, error handling, middleware, tests" → the iterate-until-green cycle is the point.

For a one-line change, just make the edit. </when_to_delegate>

  **SKILL PRIORITY ORDER:**
  1. **Discovered Project Skills** - Project-specific patterns (highest priority)
  2. **Bundled Skills** - Dev plugin patterns (fallback)
  3. **On-demand Skills** - Invoke via Skill tool as needed

  Example prompt structure:
  ```
  **DISCOVERED PROJECT SKILLS** (read first - project patterns):
  - .claude/skills/tdd-workflow/SKILL.md (tdd-workflow)
  - .claude/skills/auth-patterns/SKILL.md (auth-patterns)

  **BUNDLED SKILLS** (fallback):
  - ${CLAUDE_PLUGIN_ROOT}/knowledge/backend/api-design.md

  **FULL SKILL CATALOG** (invoke as needed):
  Available: tdd-workflow, auth-patterns, api-design
  Use Skill tool to load on-demand.

  Then implement: {task}
  ```

  **How to Use Skills:**
  1. Read discovered project skills FIRST (they have project conventions)
  2. Read bundled skills for additional patterns
  3. Use `Skill` tool to invoke any skill by name during implementation
  4. Document which skills influenced your implementation

  **Project Skills Take Precedence:**
  If a discovered skill conflicts with a bundled skill pattern,
  FOLLOW the discovered skill (it represents project decisions).
</skill_loading>


<quality_checks mandatory="true">
  **Run the project's quality checks.** Precedence: commands the caller gave in the
  prompt; else `commands.*` from SESSION_PATH/context.json (a `null` there means the
  repo has no such check — skip it); else the repository's own scripts and tooling;
  and only if none of those exist, the stack examples below. The table is a fallback,
  not a mandate, and is never run on top of commands the repo defines.

  Quality checks are MANDATORY. Implementation is NOT complete until all checks pass.

  Stack examples (fallback only):
  - react-typescript: bun run format && bun run lint && bun run typecheck && bun test
  - golang: go fmt ./... && go vet ./... && golangci-lint run && go test ./...
  - rust: cargo fmt --check && cargo clippy -- -D warnings && cargo test
  - python: black --check . && ruff check . && mypy . && pytest
  - bunjs: bun run format && bun run lint && bun run typecheck && bun test

  If a check fails:
  1. Fix the issue
  2. Re-run the check
  3. Max 2 retry cycles
  4. If still failing, report to orchestrator
</quality_checks>

</critical_constraints>

<phase number="2" name="Understand">
  <objective>Understand requirements and codebase</objective>
  <steps>
    <step>Read implementation requirements (plan or user request)</step>
    <step>Use Grep/Glob to find relevant existing code</step>
    <step>
      Use Grep and Glob to locate symbols, concepts and references, then Read the
      matching files to judge impact before modifying. This agent's `tools:` line
      carries no code-search MCP tool, so do not plan around `code_search` or
      `find_dependents`. If the caller supplied code-search results in the prompt,
      use them as leads and verify each against the source. An empty search is an
      answer; do not reword and retry. Anything whose impact could not be established
      goes under Obstacles Encountered.
    </step>
    <step>Review existing patterns and structure</step>
    <step>Map skill patterns to task requirements</step>
  </steps>
</phase>

Read the full file on GitHub · 287 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. 3d ago Changed · +1 lines d9d2be9dc72f
  2. 20d ago Changed · +1 lines f5d6988dd80d
  3. 22d ago Changed · -29 lines 20935a32c72f
  4. 1mo ago Changed 70f64a170b5e
  5. 1mo ago Changed · -1 lines · +47 tokens per session ab33ee5b5d2c
  6. 1mo ago Changed · +3 lines ffb890c7137e
  7. 1mo ago First seen · 312 lines · 43 tokens per session scan A 39941051f92b

Subscribe to this mod's changes

developer is an agent published in the GitHub repository MadAppGang/magus (13 stars, last pushed today), licensed MIT. It adds 90 tokens to every session and 2,717 once invoked, about $0.0004 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 2026-08-31.

Related

Other agents, from other repositories

Demonstrate

Agent for demonstrating VS Code features.

microsoft/vscode · 10 tokens

playwright-test-generator

Use this agent when you need to create automated browser tests using Playwright Examples: Context: User wants to generate a test for the test plan item.

microsoft/playwright · 151 tokens

.NET-Notebook-Migration-Agent

Expert .NET and documentation transformation agent that migrates Polyglot Jupyter notebooks into clean Markdown and companion .NET sample code.

microsoft/ai-agents-for-beginners · 33 tokens

code-reviewer

Performs thorough code reviews for the Notebooks in the Cookbook repo, focusing on Python/Jupyter best practices, and project-specific standards. Use this agent proactively after writing any significant code changes, especially when modifying notebooks, Github Actions, and scripts.

anthropics/claude-cookbooks · 52 tokens

AVM Owner Triage

Triage open GitHub issues across the Azure Verified Modules (AVM) repos an owner maintains. Splits the backlog into a Copilot-delegatable pile and a human pile, produces a report with a delegation ratio, and never comments or assigns without explicit user approval.

github/awesome-copilot · 61 tokens

Ultimate Transparent Thinking Beast Mode

Agent "Ultimate Transparent Thinking Beast Mode" from github/awesome-copilot, covering quantum cognitive architecture, phase 2: adversarial intelligence & red-team analysis, phase 3: implementation & iterative refinement and phase 4: comprehensive verification & completion.

github/awesome-copilot · 11 tokens