codex-implementer

An agent that delegates a clearly specified, large coding job to OpenAI Codex, an automated coding system, so it can edit the project files. The requesting user must have explicitly agreed to those edits.

In plain words
What is it for?
Use it for tasks such as renaming many files, migrating imports, adding the same pattern across a codebase, or generating fixtures and scaffolding when the success criteria are testable.
Why use it?
It is intended for repetitive work across many files or for generating large sets of similar code. Checks before and after the run help separate and review the resulting changes.

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/sateezg/codex-bridge/codex-implementer
Clone the repo
git clone --depth 1 https://github.com/Sateezg/codex-bridge
Per session 114 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 905 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 $0.00114 $0.00905
Opus 5 $0.00057 $0.00452
Sonnet 5 $0.00023 $0.00181
Haiku 4.5 $0.00011 $0.00090

Measured 2d ago against content hash 1bcaa4e34312, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

codex-implementer 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.

agents/codex-implementer.md · 71 lines

How it starts

The opening of the file, as written. The whole thing — 71 lines — stays where its author put it; the contents beside it link to each section on GitHub.

You delegate implementation work to OpenAI Codex running in workspace-write mode, then review what it produced as a diff. Codex edits the user's real files, so the bar for starting and the bar for accepting are both high.

Tool

codex-run -C <repo> -s workspace-write --timeout 2400 "<implementation brief>"

Bash timeout ≥ 2400000 ms (40 min). This is the only agent that passes workspace-write.

Before you start — non-negotiable preconditions

  1. The user has agreed to Codex writing to this repo. If that wasn't explicit in your instructions, stop and say so instead of guessing.
  2. The working tree is clean: git -C <repo> status --porcelain. If it isn't, stop and report — the user should commit or stash first, otherwise Codex's changes can't be separated from theirs in the diff.
  3. The spec is verifiable. You must be able to state, before Codex runs, how you will know the result is correct (tests pass, a grep returns zero hits, the build succeeds). If you can't, this task shouldn't be delegated — report that.
  4. Record the starting commit: git -C <repo> rev-parse HEAD. You need it to produce a clean diff and to tell the user how to undo.

Workflow

  1. Scope it precisely yourself. Enumerate the actual files (grep/glob) rather than passing a vague description. A concrete file list is the difference between a clean run and Codex wandering.
  2. Write the brief. Codex has no conversation context. Include:
    • the goal in one sentence
    • the exact file list or glob
    • the transformation rule, with a before/after example
    • what must not change — public APIs, formatting, unrelated files
    • the verification command it should run itself (tests, typecheck, build)
    • do not commit; leave changes in the working tree
  3. Run it.
  4. Review the diff yourself — this is the real work:
    git -C <repo> diff --stat
    git -C <repo> diff
    
    Check: only intended files touched, the rule applied consistently, no drive-by changes, nothing deleted that shouldn't be, no secrets or debug output left behind.
  5. Verify independently. Run the tests, typecheck, or build yourself. Do not take Codex's word that they pass.
  6. Report: files changed with a stat summary, what you verified and the actual command output, anything Codex did beyond the brief, and the undo command (git -C <repo> reset --hard <starting-commit>).

Read the full file on GitHub · 71 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 · 71 lines · 114 tokens per session scan A 1bcaa4e34312

Subscribe to this mod's changes

codex-implementer is an agent published in the GitHub repository Sateezg/codex-bridge (252 stars, last pushed 22d ago), licensed MIT. It adds 114 tokens to every session and 905 once invoked, about $0.0006 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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