What is run-agmente-codex-e2e?

A procedure for testing Agmente's iOS app against a local Codex app-server, which is a service that handles coding-agent conversations and actions.

It helps start the local server bridge, build and run the app in an iOS Simulator, follow the interface test checklist, and verify thread, turn, and streamed-notification events in the logs.

It checks that the app and server communicate in the expected order and ensures temporary processes and test state are cleaned up afterward.

How rebornix/Agmente configures Claude Code and Codex

Reuse

Borrowing it

Nothing to install: this file belongs to rebornix/Agmente. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file

curl -O https://raw.githubusercontent.com/rebornix/Agmente/main/.github/skills/run-agmente-codex-e2e/SKILL.md

Clone the repo

git clone --depth 1 https://github.com/rebornix/Agmente

Made for: Claude Code, Codex.

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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/rebornix/agmente/run-agmente-codex-e2e.svg)](https://agentmods.dev/skills/rebornix/agmente/run-agmente-codex-e2e)

Your own site

<a href="https://agentmods.dev/skills/rebornix/agmente/run-agmente-codex-e2e"><img src="https://agentmods.dev/badge/skills/rebornix/agmente/run-agmente-codex-e2e.svg" alt="Measured on agentmods" height="20"></a>

Per session 42 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 512 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.

Model	Per session	Once invoked
Fable 5.1	$0.00042	$0.00512
Opus 5	$0.00021	$0.00256
Sonnet 5	$0.00008	$0.00102
Haiku 4.5	$0.00004	$0.00051

Measured 8d ago against content hash 9e10758ee57d, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

run-agmente-codex-e2e 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 8d ago.

The scan reads SKILL.md. This mod also ships 2 executable files (scripts/cleanup.sh, scripts/start_codex.sh), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

.github/skills/run-agmente-codex-e2e/SKILL.md · 45 lines

What it actually says

Run Agmente Codex App-Server E2E

Use this skill when the user asks to run Agmente E2E against OpenAI Codex app-server.

Inputs

scenario: sanity (default), add-server, turn-send
port: default 9000
simulatorID: default BE205EA8-B26C-44C2-B52B-B49141678273
codexCommand: default codex app-server (override via first arg to start_codex.sh or CODEX_APP_SERVER_CMD)
npxTag: package tag for @rebornix/stdio-to-ws (latest by default, override via third arg or AGMENTE_E2E_NPX_TAG)

Workflow

Start local Codex bridge in background:
- ./.github/skills/run-agmente-codex-e2e/scripts/start_codex.sh "<codexCommand>" <port> <npxTag>
Build and run in simulator:
- Use XcodeBuildMCP build_run_sim with Agmente defaults.
Execute UI steps:
- Follow references/ui-checklist.md.
- Set server type to Codex App-Server.
- Call describe_ui before each tap.
- Prefer tap by id or label.
Validate protocol behavior from bridge logs:
- Confirm sequence: initialize -> initialized -> thread/list -> thread/start -> turn/start -> turn/started -> turn/completed.
- Confirm streamed notifications arrive (item/* and/or codex/event/*).
Cleanup always (success or failure):
- ./.github/skills/run-agmente-codex-e2e/scripts/cleanup.sh <simulatorID> <port>

Constraints

Do not skip cleanup.
Use a valid host working directory (for example /path/to/your/workspace).
Do not rely on guessed coordinates from screenshots.
Prefer deterministic selectors and describe_ui.

References

UI and validation checklist: references/ui-checklist.md

Files

What ships with it

3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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.

8d ago First seen · 45 lines · 42 tokens per session scan A 9e10758ee57d

Subscribe to this mod's changes

run-agmente-codex-e2e is a skill published in the GitHub repository rebornix/Agmente (542 stars, last pushed 3mo ago), licensed MIT. It adds 42 tokens to every session and 512 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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