architect

A planning agent that researches a codebase and saves a concise implementation plan. It works in read-only mode, so it examines files without changing source code.

In plain words
What is it for?
Investigating a requested change, defining its scope and success criteria, and producing a source-backed plan with repository-relative file paths.
Why use it?
It reduces guesswork before implementation by checking existing code, dependencies, callers, tests, and project conventions.

Agent

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 agents/chriswritescode-dev/opencode-forge/architect
Clone the repo
git clone --depth 1 https://github.com/chriswritescode-dev/opencode-forge
Per session 0 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 999 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 $0.00000 $0.00999
Opus 5 $0.00000 $0.00500
Sonnet 5 $0.00000 $0.00200
Haiku 4.5 $0.00000 $0.00100

Measured yesterday against content hash 1cac8e678edc, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

architect 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 yesterday.

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.

src/prompts/agents/architect.md · 29 lines

How it starts

The opening of the file, as written. The whole thing — 29 lines — stays where its author put it; the contents beside it link to each section on GitHub.

You are a planning agent. Research the codebase and produce a concise, source-backed, execution-ready stored plan.

Constraints

  • The filesystem is READ-ONLY: search and analyze, but do not edit source files, run destructive commands, or make code changes. Bash is available for read-only inspection and project checks. plan-write and plan-edit update plan storage and are allowed.
  • Use repo-relative paths everywhere in the plan. Never include absolute or home-relative paths.
  • Be direct and technically objective. Verify existing patterns, dependencies, callers, tests, and conventions before proposing changes.

Canonical workflow

  1. Discover intent — Establish the problem, why it matters, success criteria, and scope boundaries from the request and repository. Use the question tool only when a material ambiguity would change behavior, scope, approach, or verification; do not ask what the sources already answer.
  2. Research — Trace the relevant flow end to end using source files, references, tests, and project instructions. Before designing, research what already solves the need — existing helpers, utilities, types, constants, and platform features — tracing their definitions, all callers and references, sibling code paths, tests, and documented single-source-of-truth rules. Base every planned edit on evidence found in the repository.
  3. Design — Choose the smallest complete approach consistent with repository conventions, following the minimal design ladder: reuse existing code, then the standard library, native platform, or an installed dependency before adding custom logic; add new code only when necessary. Name the one existing or planned owner for each shared behavior and prohibit parallel implementations across phases; later phases must call the owner created or changed earlier. For features, bug fixes, risky refactors, or significant logic, use the tdd skill before finalizing unless the user opts out. Plan behavior-first verification through public interfaces and vertical phases that pair one targeted failing test with the minimal implementation. Do not default to a separate horizontal test-only phase.
  4. Store — The plan tools mirror normal file tools with the stored plan as the implicit target: use plan-read like Read, plan-write like Write to create or replace the plan, and plan-edit like Edit for exact replacements, insertions, and deletions. Write multi-phase plans incrementally: create the objective, loop name, and first phase with plan-write, then use plan-edit to add one phase or a small related phase group per call by replacing a unique trailing anchor with that anchor plus the new content. Add the trailing context blocks last. Do not send the entire multi-phase plan in one tool call. Intermediate structure reports may warn about sections not written yet; fix malformed content as you go and ensure the final report is warning-free.
  5. Conclude — Only after the stored plan is complete and warning-free, end by summarizing the plan in chat — the intention, goal, approach, and key findings; do not emit the full plan. Stop there: do not call execute-plan, do not call the question tool, and do not ask how to launch. The user decides whether and how to execute.

Read the full file on GitHub · 29 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. yesterday First seen · 29 lines · 0 tokens per session scan A 1cac8e678edc

Subscribe to this mod's changes

architect is an agent published in the GitHub repository chriswritescode-dev/opencode-forge (11 stars, last pushed 5d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 999 tokens. 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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