codex

REVIEW · 63
Registry indexed

Claude x Codex bridge — delegate mechanical or bulk implementation to the OpenAI Codex CLI, get an independent cross-model review of the current uncommitted diff, or ask Codex a read-only second-opinion question. Triggers "use codex", "have codex do", "have codex review", "have c

Verified installs0
Stars42
Version1.0.0
Quality63/100 · Promising
Trust63/100 · Sandbox only
Audit76/100 · Needs review

Supply asset profile

Coding and developer agents

Code review, repo analysis, testing, CI, GitHub, DevOps, and developer workflow skills.

Browse track

Scenario

GitHub automation

I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.

Agent fit

Claude Code + OpenAI Agents + CLI

Codex, Claude Code, Cursor, CLI, or custom agents.

Install

Ready

npx skills add darkroomengineering/cc-settings --skill codex

Maintenance

fresh

3d since push

Risk

Needs review

The skill depends on an external script (codex-run.ts) that is not included in the skill directory; portability relies on the script being pre-installed in the user's environment.

GitHub quality

42

63/100 Quality · 71/100 Trust

Coverage tags

CodingGitHub automationcoding-agentsagent-skill

Review notes

The skill depends on an external script (codex-run.ts) that is not included in the skill directory; portability relies on the script being pre-installed in the user's environment. · Low GitHub adoption signal

Agent adoption scorecard

Trust, audit, and install readiness at a glance

These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.

Quality

Promising
63

Useful candidate, but compare it with alternatives before adopting.

Trust

Sandbox only
63

Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.

Audit

Needs review
76

A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.

OpenAgentSkill Trust Score v5

Human review before install

Run only in a sandbox and compare close alternatives before using it for real work.

CodexClaude CodeCursorOpenAgentSkill CLI

Stars

42 GitHub stars

Repo activity

42 stars, 3 forks

Maintenance

3d since push

License

MIT

Install

npx skills add darkroomengineering/cc-settings --skill codex

Install safety

standard package or runtime install path

Permission surface

shell or command execution, filesystem or document access

Agent outcomes

No agent outcome data yet

Docs

Strong README/SKILL.md context

Risk summary

Review before production

  • The skill depends on an external script (codex-run.ts) that is not included in the skill directory; portability relies on the script being pre-installed in the user's environment.
  • Low GitHub adoption signal
  • Quality score needs review
  • GitHub adoption: 42 GitHub stars

Install readiness

Install path available

  • Install path is available
  • Repository evidence is available
  • License is declared
  • No Agent Proven outcome evidence yet

Agent-readable metadata

Machine-readable decision data for this skill.

Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.

Open JSON

Suited tasks

  • GitHub automation workflows
  • Claude Code teams
  • builders willing to evaluate younger projects
  • Inspect repository metadata

Suited agents

CodexClaude CodeCursorOpenAgentSkill CLIOpenAI AgentsCLI

Install decision

Command
npx skills add darkroomengineering/cc-settings --skill codex
Policy
review
Human review
yes

Trust and risk

Trust
63/100
Audit
76/100
Risk level
Needs review

Outcome loop

Endpoint
/api/agent/outcome
Event ID
resolve
Outcomes
5

Install command

npx skills add darkroomengineering/cc-settings --skill codex

Do not use when

  • teams that need a vendor-supported SLA
  • production agents without a repository review
  • Low GitHub adoption signal
  • The skill depends on an external script (codex-run.ts) that is not included in the skill directory; portability relies on the script being pre-installed in the user's environment.
  • High-risk permission hints: Shell or command execution

Agent safety v2

48/100 · Avoid automatic install

Experimentalreview

Sparse or mixed signals. Useful for discovery, but not for autonomous installation.

Test manually in an isolated workspace and compare against safer alternatives.

Resolve via API

high

Shell or command execution

Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.

medium

Network access

Skill likely fetches remote pages, APIs, repositories, or external services.

medium

Filesystem access

Skill may read or write project files, documents, generated artifacts, or local workspace state.

  • High-risk permission hints: Shell or command execution
  • The skill depends on an external script (codex-run.ts) that is not included in the skill directory; portability relies on the script being pre-installed in the user's environment.

Install targets

Install this skill in your agent workflow

Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.

skill install

OpenAgentSkill CLI

Resolve policy, run the source installer safely, and report a verified install receipt.

$ npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.2.1/openagentskill-0.2.1.tgz install darkroomengineering-codex

Agent resolve plan

Let an agent verify fit before installing.

The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.

Open text plan

Agent should check

  • Task fit and alternatives from Resolve API.
  • Audit score, trust score, and safety policy warnings.
  • Install target compatibility for Codex, Claude Code, Cursor, or CLI.

Copy prompt

Task: Use codex in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20codex%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/darkroomengineering-codex/install
Install command: npx skills add darkroomengineering/cc-settings --skill codex
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.

Agent handoff

Give an agent the install path, not another directory page.

Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.

Open install API

Agent prompt

Use codex for this task. Review https://www.openagentskill.com/api/skills/darkroomengineering-codex/install, then install with: npx skills add darkroomengineering/cc-settings --skill codex

Registry metadata

Agent-readable profile for automatic skill selection.

This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.

Open manifest

Agent fit

62/100

GitHub automation

Platforms

Claude Code, OpenAI Agents

Audit report

Needs review · 76/100

A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.

View audit reportView eval report

Agent decision cockpit

Fallback candidate for GitHub automation

Prototype with this skill first; keep a fallback candidate ready.

62
Readiness
Prototype
Stage

Role in stack

Fallback candidate

Primary fit

GitHub automation

Trust label

Prototype first

Install path

Command ready

Use when

  • GitHub automation workflows
  • Claude Code teams
  • builders willing to evaluate younger projects

Evidence

  • recent repository activity
  • install command or GitHub repo available
  • 63/100 quality profile
  • 1 OpenAgentSkill engagement events

review first

  • Low GitHub adoption signal
  • The skill depends on an external script (codex-run.ts) that is not included in the skill directory; portability relies on the script being pre-installed in the user's environment.

Implementation path

  1. 1Install it in a sandbox agent and run one GitHub automation task end to end.
  2. 2Compare output quality, latency, and failure behavior against at least one alternative.
  3. 3Promote it into production only after reviewing repository permissions, license, and maintenance signals.

Trust profile

Sandbox only

Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.

63
OpenAgentSkill Trust Score

GitHub adoption

CHECK

42 GitHub stars

Stars/forks activity

CHECK

42 stars, 3 forks; issue activity unavailable in current metadata

Recent maintenance

PASS

3d since push

License clarity

PASS

MIT

Good signals

  • AI review approved
  • Install path is available
  • Repository evidence is available
  • Recently maintained repository
  • Install command has no obvious high-risk pattern
  • Outcome loop is ready but needs first real agent run

Review before install

  • The skill depends on an external script (codex-run.ts) that is not included in the skill directory; portability relies on the script being pre-installed in the user's environment.
  • Low GitHub adoption signal
  • Quality score needs review
  • GitHub adoption: 42 GitHub stars
  • Stars/forks activity: 42 stars, 3 forks; issue activity unavailable in current metadata
  • No real agent outcome reports yet
  • Human review required before unattended installation

Recommended action

Run only in a sandbox and compare close alternatives before using it for real work.

Quality profile

Promising candidate for agent workflows

Useful candidate, but compare it with alternatives before adopting.

63
GitHub stars
42
Freshness
3d ago
Install ready
Yes
License
MIT
Review before install: Low GitHub adoption signal · The skill depends on an external script (codex-run.ts) that is not included in the skill directory; portability relies on the script being pre-installed in the user's environment.

Workflow fit

Use this skill in these scenarios

Workflow fit

Add it to a complete workflow

Alternative shortlist

Compare before you install

Similar skills that may fit this task.

Compare all

Overview

--- name: codex argument-hint: "[exec|review|ask] [task]" description: Claude x Codex bridge — delegate mechanical or bulk implementation to the OpenAI Codex CLI, get an independent cross-model review of the current uncommitted diff, or ask Codex a read-only second-opinion question. Triggers "use codex", "have codex do", "have codex review", "have codex check", "codex exec", "second opinion from codex", "cross-check with codex", "delegate to codex", "ask codex". Use when you want a different model family to verify your own diff, parallelize bulk work, or get a fast read-only opinion without spending Claude turns. context: main ---

# Codex Bridge

Invoke the OpenAI Codex CLI from inside a Claude session. Three subcommands map to three distinct use cases.

All subcommands are called via:

```bash bun "$HOME/.claude/src/scripts/codex-run.ts" <subcommand> [args] ```

---

## Subcommands

### exec -- delegate mechanical or bulk work

```bash bun "$HOME/.claude/src/scripts/codex-run.ts" exec "the full task description" ```

Runs Codex in a `workspace-write` sandbox. Use this when a task is:

- Mechanical (repetitive edits, file scaffolding, boilerplate generation) - Bulk (touching many files at once where Claude's serial context would be slow) - Parallelizable with Claude's own work (start Codex on one half while Claude handles the other)

**Quota routing**: Codex is metered by messages per ~5-hour window, not by tokens. Hand it one big complete task, not a sequence of small steps. A single `exec` call for a whole feature costs the same quota as one `exec` call for a single file.

After `exec` returns, ALWAYS review Codex's diff before trusting it:

```bash git diff ```

Then run the proof gate:

```bash bun run proof ```

### review -- independent cross-model diff review

```bash bun "$HOME/.claude/src/scripts/codex-run.ts" review ```

Runs in a `read-only` sandbox. Codex reads the repo itself (`git diff`, `git status`) and reports findings by severity (HIGH / MEDIUM / LOW), covering correctness bugs, security issues, and obvious quality problems.

Use this after you have finished a diff and want a second opinion from a different model family. Codex and Claude have different blind spots — cross-model review catches what Opus self-review misses. This is the primary reason to prefer `review` over asking Claude to review its own output.

**Scope presets** — mirrors Codex's own `/review` presets (base-branch / uncommitted / commit / custom). Default with no flags is the uncommitted working-tree diff, unchanged from before. Flags are mutually exclusive:

```bash # Default: review the current uncommitted diff (git diff + git diff --cached) bun "$HOME/.claude/src/scripts/codex-run.ts" review

# Only the staged diff bun "$HOME/.claude/src/scripts/codex-run.ts" review --staged

# Diff against a base branch (merge-base...HEAD) bun "$HOME/.claude/src/scripts/codex-run.ts" review --base main

# A single commit bun "$HOME/.claude/src/scripts/codex-run.ts" review --commit abc1234 ```

Codex's fourth preset ("custom instructions") is covered by `ask` above rather than a review flag.

**Review model pin** — set `CODEX_REVIEW_MODEL` to pin `review` to a specific (often cheaper) model via `codex exec -m`, independent of whatever model an interactive Codex session uses. This mirrors Codex's own `review_model` config key. Unset uses codex's configured default model.

```bash CODEX_REVIEW_MODEL=<model-name> bun "$HOME/.claude/src/scripts/codex-run.ts" review ```

### ask -- read-only second opinion

```bash bun "$HOME/.claude/src/scripts/codex-run.ts" ask "your question here" ```

Runs in a `read-only` sandbox. Use for quick factual questions, architecture opinions, or anything where you want a fast external perspective without making any changes.

---

## Quota and cost guidance

- Codex is on a Pro-class plan metered by messages per ~5-hour window (not by tokens). Prefer FEW LARGE calls over many small ones. - Batch work: give `exec` a whole feature or module, not one function at a time. - `review` and `ask` are read-only and cheap — use them freely as a cross-check. - If the script reports the bridge is unavailable (not installed, not logged in, or rate-limited), continue Claude-only. Do not block the session. - Sessions get automatic steering: the `quota-steer` hook injects a routing reminder when Claude usage crosses 60% (5-hour) or 65% (weekly). If you see that reminder, prefer `exec`/`review` here over spawning Claude subagents. - The `codex-verify` SessionStart hook also injects a default-on routing policy whenever the bridge is available, so Codex review/exec is the default on diff-producing work, not just under quota pressure.

---

## Availability states

The script handles all availability states gracefully. On failure it prints guidance to stderr and exits 1. Possible states:

- `not-installed` -- install Codex CLI and run `codex login` - `unauthenticated` -- run `codex login` - `no-access` -- plan entitlement issue; try `codex logout && codex login` - `rate-limited` -- usage window exhausted; retry after the ~5-hour reset - `unknown` -- one-off error; safe to retry

Technical details

Version
1.0.0
License
MIT
Last updated
Aug 20, 2026
Published
Aug 20, 2026

Decision snapshot

Fallback candidate

62
Ready
Prototype
Stage

recent repository activity

Audit

Install review

Install and adoption review

76
Needs review
Security
76/100
Maintenance
100/100
Install
92/100
Open full auditView eval report

Agent-proven evidence

Agent-proven evidence

Outcome reports after resolve, review, install, and one narrow run.

0
Proven
Needs first agent runAuto-install: review firstLast: Unknown
Success rate
Recent failure
Outcomes
0
Output quality
Failed
0
Not relevant
0
Installs
0
Risk blocked
0
Setup needed
0
Production
0

No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.

Install

Add to agent workflow

Free and open source. Review the report before installing into production agents.

Growth loop

Share kit

X

Scenario-led draft for codex, ready for a manual X post.

Curator note
codex: Claude x Codex bridge — delegate mechanical or bulk implementation to the OpenAI Codex CLI, g...

42 stars

https://www.openagentskill.com/skills/darkroomengineering-codex?ref=x
Open X draft
Optional reply with install command
Listing + install path for codex:
https://www.openagentskill.com/skills/darkroomengineering-codex?ref=x

Install: npx skills add darkroomengineering/cc-settings --skill codex

Listing source

Registry indexed

Claimable

This listing was indexed from public sources and is not marked official until a maintainer claim is approved.

Indexed by
OpenAgentSkill community index

Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.

Claim this skill

Owner claim

Claim this skill listing

This Registry indexed listing is attributed to darkroomengineering but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.

Creator backlink kit

Add the evidence badges to your README

Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.

[![Listed on OpenAgentSkill](https://www.openagentskill.com/api/badge/darkroomengineering-codex?metric=listed&label=Listed)](https://www.openagentskill.com/skills/darkroomengineering-codex)
[![OpenAgentSkill Trust](https://www.openagentskill.com/api/badge/darkroomengineering-codex?metric=trust&label=Trust)](https://www.openagentskill.com/skills/darkroomengineering-codex)
[![OpenAgentSkill Audit](https://www.openagentskill.com/api/badge/darkroomengineering-codex?metric=audit&label=Audit)](https://www.openagentskill.com/skills/darkroomengineering-codex/audit)
[![Agent Proven](https://www.openagentskill.com/api/badge/darkroomengineering-codex?metric=proven&label=Agent%20Proven)](https://www.openagentskill.com/skills/darkroomengineering-codex)

Author

D

darkroomengineering

@darkroomengineering

Health signals

GitHub stars
42
Quality score
35/100
Last GitHub push
Aug 20, 2026
Framework hints
Unknown
OpenAgentSkill views
1
Install copies
0
Outbound clicks
0

Community signal

Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.

Trust & safety

Sandbox only

63
  • GitHub adoption42 GitHub starsCHECK
  • Stars/forks activity42 stars, 3 forks; issue activity unavailable in current metadataCHECK
  • Recent maintenance3d since pushPASS
  • License clarityMITPASS
  • README/SKILL.md completenessMetadata includes enough usage and workflow contextPASS
  • Dependency/runtime riskcommand execution surfaceINFO