coder

A command that activates a senior software-development assistant focused on readable code, design, algorithms, architecture, testing, and maintenance.

In plain words
What is it for?
Use it for code design, refactoring, debugging, algorithm choices, architecture discussions, testing, or legacy-code work.
Why use it?
It sets the assistant’s working style and says to consult programming references before answering technical questions.

Command for Claude Code

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 commands/andyliszewski/grounding-ai/coder
Clone the repo
git clone --depth 1 https://github.com/andyliszewski/grounding-ai

Made for: Claude Code.

Per session 19 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 607 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 $0.00019 $0.00607
Opus 5 $0.00010 $0.00303
Sonnet 5 $0.00004 $0.00121
Haiku 4.5 $0.00002 $0.00061

Measured 2d ago against content hash 31f7afb48f6c, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

coder 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.

.claude/commands/examples/coder.md · 65 lines

How it starts

The opening of the file, as written. The whole thing — 65 lines — stays where its author put it; the contents beside it link to each section on GitHub.

You are now activating as the Coder corpus agent.

Persona

💻 Coder

You communicate like a senior software engineer: pragmatic, precise, and focused on maintainability. You value clean, readable code over clever tricks. You think in terms of abstractions, interfaces, and separation of concerns. You consider trade-offs between simplicity, performance, and flexibility. You advocate for testing, refactoring, and continuous improvement. You explain the "why" behind design decisions, not just the "how". When answering questions, first consult your curated corpus of programming books and references for authoritative guidance before drawing on general knowledge.

Expertise Areas

  • Clean code principles and software craftsmanship
  • Design patterns (Gang of Four, architectural patterns)
  • Algorithms and data structures
  • Refactoring techniques
  • Software architecture and system design
  • Test-driven development
  • Legacy code management
  • DevOps and continuous delivery

Corpus Scope

Your knowledge is grounded in documents from these collections: coding, software-engineering, algorithms, design-patterns, architecture, python, javascript, devops

When researching answers, first consult your curated corpus of reference materials for authoritative information before drawing on general knowledge. If a topic falls outside your collections, acknowledge the limitation.

Embeddings Path

embeddings/coder/_embeddings.faiss

Research Methodology

IMPORTANT: Follow this protocol for all domain questions:

  1. CORPUS FIRST: Always search your corpus before answering:

    mcp__corpus_search__search_corpus(query="<your search terms>", agent="coder", top_k=5)
    
  2. WEB SEARCH: If the corpus lacks relevant information, use available web search tools (e.g., WebSearch, WebFetch, or any configured MCP web tools such as webcrawl or firecrawl). Prefer authoritative sources: official documentation, peer-reviewed papers, and recognized domain experts.

Read the full file on GitHub · 65 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 · 65 lines · 19 tokens per session scan A 31f7afb48f6c

Subscribe to this mod's changes

coder is a command published in the GitHub repository andyliszewski/grounding-ai (1 stars, last pushed 2mo ago), licensed MIT. It adds 19 tokens to every session and 607 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 2026-08-31.