codex-image-gen
>-
Profil aset
Desain dan produksi kreatif
Design assets, images, video, audio, multimodal media, presentation, and creative production skills.
Skenario
Desain dan kreatif
I need my agent to produce design assets, UI directions, presentations, or creative media workflows.
Kecocokan Agent
Claude Code + OpenAI Agents + CLI
Cocok untuk Codex, Claude Code, Cursor, CLI, atau Agent khusus.
Pasang
Siap
npx skills add shipshitdev/skills --skill codex-image-gen
Pemeliharaan
Terkini
2 hari sejak push
Risiko
Perlu ditinjau
Permission surface may require sandboxing
Kualitas GitHub
33
62/100 Kualitas · 73/100 Kepercayaan
Tag cakupan
Catatan ulasan
Permission surface may require sandboxing · Low GitHub adoption signal
Kartu adopsi Agent
Kepercayaan, audit, dan kesiapan pemasangan dalam sekali lihat
Skor ini menggabungkan metadata repositori publik, sinyal ulasan OpenAgentSkill, kebaruan pemeliharaan, dan kesiapan pemasangan. Ini adalah sinyal shortlist, bukan pengganti peninjauan manusia.
Kualitas
MenjanjikanUseful candidate, but compare it with alternatives before adopting.
Kepercayaan
Hanya sandboxKandidat berguna dengan sinyal kepercayaan yang kurang atau bercampur. Gunakan di ruang kerja terisolasi hingga loop hasil membuktikan kecocokan tugas.
Audit
Perlu ditinjauTinjauan yang dapat dibaca mesin tentang kesiapan pemasangan, metadata keamanan, pemeliharaan, dan risiko adopsi.
Trust Score OpenAgentSkill v5
Tinjauan manusia sebelum pemasangan
Jalankan hanya dalam sandbox dan bandingkan alternatif terdekat sebelum digunakan untuk kerja nyata.
Star
33 star GitHub
Aktivitas repositori
33 star dan 3 fork
Pemeliharaan
2 hari sejak push
Lisensi
MIT
Pasang
npx skills add shipshitdev/skills --skill codex-image-gen
Keamanan pemasangan
Jalur pemasangan paket atau runtime standar
Cakupan izin
shell or command execution, filesystem or document access
Hasil Agent
Belum ada data hasil Agent
Dokumentasi
Usable metadata, review docs
Ringkasan risiko
Tinjau sebelum produksi
- Low GitHub adoption signal
- Quality score needs review
- Permission surface needs review: shell or command execution, filesystem or document access
- GitHub adoption: 33 GitHub stars
Kesiapan pemasangan
Jalur pemasangan tersedia
- Jalur pemasangan tersedia
- Bukti repositori tersedia
- Lisensi dinyatakan
- Belum ada bukti hasil Agent-Proven
Metadata yang dapat dibaca Agent
Data keputusan yang dapat dibaca mesin untuk skill ini.
Gunakan blok ini atau JSON tersemat untuk memutuskan apakah Agent perlu memasang skill ini, memilih alternatif, atau meminta tinjauan manusia terlebih dahulu.
Tugas yang sesuai
- alur kerja Desain dan kreatif
- Tim Claude Code
- builders willing to evaluate younger projects
- Inspect visual requirements
Agent yang sesuai
Keputusan pemasangan
- Perintah
- npx skills add shipshitdev/skills --skill codex-image-gen
- Kebijakan
- Tinjau
- Tinjauan manusia
- Ya
Kepercayaan dan risiko
- Kepercayaan
- 65/100
- Audit
- 77/100
- Tingkat risiko
- Perlu ditinjau
Lingkar hasil
- Endpoint
- /api/agent/outcome
- ID event
- resolve
- Hasil
- 5
Perintah pemasangan
npx skills add shipshitdev/skills --skill codex-image-genJangan gunakan ketika
- Tim yang membutuhkan SLA dengan dukungan vendor
- production agents without a repository review
- Low GitHub adoption signal
- No OpenAgentSkill engagement data yet
- Petunjuk izin berisiko tinggi: eksekusi shell atau perintah
Skill alternatif
Frontend Design
171.1K Star
npx skills add anthropics/skills --skill frontend-design
Skill alternatif
Taste Skill: Anti-Slop Frontend
79.4K Star
npx skills add Leonxlnx/taste-skill --skill design-taste-frontend
Skill alternatif
Canvas Design
171.1K Star
npx skills add anthropics/skills --skill canvas-design
Skill alternatif
Anthropic Brand Guidelines
171.1K Star
npx skills add anthropics/skills --skill brand-guidelines
Keamanan Agent v2
45/100 · Hindari pemasangan otomatis
Sparse or mixed signals. Useful for discovery, but not for autonomous installation.
Test manually in an isolated workspace and compare against safer alternatives.
Tinggi
Eksekusi shell atau perintah
Metadata skill merujuk terminal, CLI, shell, subprocess, atau alur kerja eksekusi perintah.
Sedang
Akses jaringan
Skill kemungkinan mengambil halaman jarak jauh, API, repositori, atau layanan eksternal.
Sedang
Akses sistem file
Skill dapat membaca atau menulis file proyek, dokumen, artefak yang dihasilkan, atau status workspace lokal.
Sedang
Akses database
Skill dapat memeriksa skema, mengkueri database, atau bekerja dengan penyimpanan persisten.
- Petunjuk izin berisiko tinggi: eksekusi shell atau perintah
- Permission surface may require sandboxing
Target pemasangan
Pasang skill ini di alur Agent Anda
Gunakan endpoint publik untuk mengambil perintah, checklist keamanan, prompt target, dan tautan kanonis.
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 shipshitdev-codex-image-genRencana resolusi Agent
Biarkan Agent memverifikasi kecocokan sebelum memasang.
API Resolve mengembalikan skill utama, alternatif, kebijakan keamanan, catatan audit, target pemasangan, dan prompt siap pakai.
Buka JSON
/api/agent/resolve?task=Use%20codex-image-gen%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Teks Resolve
/api/agent/resolve?task=Use%20codex-image-gen%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Serah-terima pemasangan
/api/skills/shipshitdev-codex-image-gen/install
Agent harus memeriksa
- 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.
Salin prompt
Task: Use codex-image-gen in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20codex-image-gen%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/shipshitdev-codex-image-gen/install
Install command: npx skills add shipshitdev/skills --skill codex-image-gen
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Serah-terima Agent
Berikan jalur pemasangan kepada Agent, bukan direktori lain.
Gunakan endpoint publik untuk mengambil perintah, checklist keamanan, prompt target, dan tautan kanonis.
Serah-terima pemasangan
/api/skills/shipshitdev-codex-image-gen/install
Format teks LLM
/api/skills/shipshitdev-codex-image-gen/install?format=text
Cari alternatif
/api/skills/search?q=codex-image-gen&limit=3
Prompt Agent
Use codex-image-gen for this task. Review https://www.openagentskill.com/api/skills/shipshitdev-codex-image-gen/install, then install with: npx skills add shipshitdev/skills --skill codex-image-genMetadata Registry
Profil yang dapat dibaca Agent untuk pemilihan skill otomatis.
API Registry menyediakan sinyal keputusan, kepercayaan, audit, use case, dan pemasangan tanpa mengikis UI.
Manifest
/api/registry/manifest/shipshitdev-codex-image-gen
Teks LLM
/api/registry/manifest/shipshitdev-codex-image-gen?format=text
Alias pemasangan
/api/registry/install/shipshitdev-codex-image-gen
Rekomendasikan
/api/registry/recommend?task=Use%20codex-image-gen%20in%20an%20agent%20workflow&limit=3
Kecocokan Agent
Desain dan kreatif
Platform
Claude Code, OpenAI Agents
Laporan audit
Perlu ditinjau · 77/100
Tinjauan yang dapat dibaca mesin tentang kesiapan pemasangan, metadata keamanan, pemeliharaan, dan risiko adopsi.
Panel keputusan Agent
Fallback candidate for Design and creative
Prototype with this skill first; keep a fallback candidate ready.
Peran di stack
Kandidat cadangan
Kecocokan utama
Desain dan kreatif
Label kepercayaan
Buat prototipe dulu
Jalur pemasangan
Perintah siap
Gunakan saat
- alur kerja Desain dan kreatif
- Tim Claude Code
- builders willing to evaluate younger projects
Bukti
- recent repository activity
- install command or GitHub repo available
- profil kualitas 62/100
tinjau dulu
- Low GitHub adoption signal
- No OpenAgentSkill engagement data yet
Jalur implementasi
- 1Pasang di Agent sandbox dan jalankan satu tugas Desain dan kreatif dari awal hingga akhir.
- 2Compare output quality, latency, and failure behavior against at least one alternative.
- 3Promote it into production only after reviewing repository permissions, license, and maintenance signals.
Profil kepercayaan
Hanya sandbox
Kandidat berguna dengan sinyal kepercayaan yang kurang atau bercampur. Gunakan di ruang kerja terisolasi hingga loop hasil membuktikan kecocokan tugas.
Adopsi GitHub
Periksa33 star GitHub
Aktivitas star/fork
Periksa33 star dan 3 fork; aktivitas issue tidak tersedia dalam metadata saat ini
Pemeliharaan terbaru
Lulus2 hari sejak push
Kejelasan lisensi
LulusMIT
Sinyal positif
- Tinjauan AI disetujui
- Jalur pemasangan tersedia
- Bukti repositori tersedia
- Repositori yang baru dipelihara
- Perintah pemasangan tidak memiliki pola berisiko tinggi yang jelas
- Loop hasil siap tetapi membutuhkan eksekusi Agent nyata pertama
Tinjau sebelum memasang
- Low GitHub adoption signal
- Quality score needs review
- Permission surface needs review: shell or command execution, filesystem or document access
- GitHub adoption: 33 GitHub stars
- Stars/forks activity: 33 stars, 3 forks; issue activity unavailable in current metadata
- Permission surface: shell or command execution, filesystem or document access
- Belum ada laporan hasil Agent nyata
- Tinjauan manusia diperlukan sebelum pemasangan tanpa pengawasan
Tindakan yang disarankan
Jalankan hanya dalam sandbox dan bandingkan alternatif terdekat sebelum digunakan untuk kerja nyata.
Profil kualitas
Menjanjikan kandidat untuk alur kerja Agent
Useful candidate, but compare it with alternatives before adopting.
Kecocokan alur kerja
Gunakan skill ini pada skenario berikut
Create assets
Design and creative
I need my agent to produce design assets, UI directions, presentations, or creative media workflows.
Operate web apps
Browser automation
I need my agent to control a browser, fill forms, and verify web app workflows.
Operate local tools
Local desktop
I need my agent to operate local files and desktop apps in a repeatable workflow.
Kecocokan alur kerja
Tambahkan ke alur kerja lengkap
Design, build, test, and ship interfaces
Frontend and UI
A practical workflow for agents that turn product briefs or Figma designs into polished frontend code, review the result, test it in a browser, and prepare a safe deployment.
Operate and verify web apps
Browser QA agent
A workflow for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.
Turn skills into distribution
Content growth agent
A workflow for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.
Daftar alternatif
Bandingkan sebelum memasang
Similar skills that may fit this task.
Frontend Design
Guidance for distinctive, intentional UI design, typography, visual direction, and non-template-like product interfaces.
Taste Skill: Anti-Slop Frontend
Design and implementation guidance for distinctive landing pages, portfolios, product demos, and purposeful redesigns.
Canvas Design
Create original visual art, posters, PNG assets, and PDF documents through a clear design philosophy.
Anthropic Brand Guidelines
Apply Anthropic official brand colors, typography, and visual standards to appropriate Anthropic-related artifacts.
Ringkasan
--- name: codex-image-gen description: >- Generate raster images (icons, illustrations, textures, app icons) from a text prompt by driving the Codex CLI's image tool, then extracting the finished PNG from the Codex session rollout. Use when an agent needs a real generated image and has no native image-generation tool. Requires the `codex` CLI, logged in. license: MIT compatibility: Requires the `codex` CLI (logged in) plus `python3` and `base64`; `sips` is optional for post-processing on macOS. metadata: version: "1.0.0" tags: "codex, image-generation, gpt-image, cli, assets, app-icon" when_to_use: "generate an image, make an icon, create an app icon, render an illustration or texture, agent needs an image but has no image tool, codex image generation" ---
# Codex Image Gen
Generate a real raster image from a text prompt when the running agent has no native image generator. The mechanism is non-obvious: the headless `codex exec` path genuinely calls the image tool, but it never writes the PNG to disk — only the Codex desktop app has the plumbing that polls the async job and saves it. The finished image is still recoverable, because its full base64 PNG is recorded in the session rollout JSONL. Run the prompt, read the session id Codex prints, open the matching rollout, and decode the largest `result` string to a PNG.
## When this is the right tool
- The agent needs a generated raster image (icon, illustration, texture, app icon, placeholder art) and has no built-in image-generation tool. - A `codex` CLI is installed and logged in, and shelling out to it is allowed. - A vector result is **not** required — this produces a PNG, not an SVG.
If a native image tool exists, prefer it. If the deliverable is a logo or crisp vector, prefer a vector workflow.
## Why the naive approach fails
Running `codex exec "draw a ..."` and then watching `~/.codex/generated_images/` produces nothing: that folder is written by the desktop app's async-job poller, not by `codex exec`. People conclude CLI image generation is impossible. It is not — the completed image lives in the session rollout as the `result` field of the image-generation response item. This skill reads it from there.
## Pipeline
### 1. Write the prompt to a file
Avoid shell-escaping pain by putting the prompt in a file. Be explicit — the model has no other context:
- Subject and style ("flat vector mark", "glossy 3D glass icon", "hand-drawn"). - Composition: full-bleed vs. padded, centered, single object vs. scene. - Palette and background (solid color, transparent intent, gradient). - `NO text, NO letters, NO words` unless you specifically want type. - Target aspect ratio and rough size.
```bash cat > /tmp/img-prompt.txt <<'PROMPT' A single app icon: a glossy translucent envelope on a soft blue-to-violet gradient, Liquid Glass style, centered with even padding, no text, no letters, 1:1 square, high detail. PROMPT ```
### 2. Run `codex exec` and capture stdout
```bash codex exec -s read-only "$(cat /tmp/img-prompt.txt)" 2>&1 | tee /tmp/codex-run.log ```
Run it in the **foreground**. `exec` returns once the turn completes; in practice the `result` is already written to the rollout by then.
### 3. Parse the session id
Codex prints a `session id: <uuid>` line. Pull it from the captured log:
```bash SESSION_ID=$(grep -oE 'session id: [0-9a-f-]{36}' /tmp/codex-run.log | awk '{print $3}') echo "session: $SESSION_ID" ```
### 4. Extract the PNG from the rollout
The rollout lives at `~/.codex/sessions/YYYY/MM/DD/rollout-*<session-id>*.jsonl`. Walk it, find the largest `result` string (the base64 image), and decode it. Use the bundled helper:
```bash python3 scripts/extract-codex-image.py "$SESSION_ID" /tmp/out.png ```
### 5. Assert success
Confirm the file exists and is a real PNG before using it:
```bash test -s /tmp/out.png && file /tmp/out.png # expect: PNG image data, 1254 x 1254 ```
If extraction finds no base64 `result`, the turn did not actually generate an image (e.g. the model answered in text). Re-run step 2 with a more explicit "generate an image" instruction.
### 6. Post-process (optional)
Default output is roughly **1254×1254 PNG, RGB, no alpha**. Resize / strip alpha with `sips` on macOS:
```bash sips -z 1024 1024 /tmp/out.png --out /tmp/icon-1024.png # downscale sips -s format png /tmp/out.png --out /tmp/flat.png # normalize ```
## Reference extractor
`scripts/extract-codex-image.py` (also reproduced here so the procedure is self-contained):
```python import json, sys, base64, glob, os
session_id, out = sys.argv[1], sys.argv[2] sess = max( glob.glob(os.path.expanduser(f"~/.codex/sessions/**/*{session_id}*.jsonl"), recursive=True), key=os.path.getmtime, ) best = None
def walk(o): global best if isinstance(o, dict): for k, v in o.items(): if k == "result" and isinstance(v, str) and len(v) > 100000: if best is None or len(v) > len(best): best = v else: walk(v) elif isinstance(o, list): for v in o: walk(v)
for line in open(sess): try: walk(json.loads(line)) except Exception: pass
if best is None: sys.exit("no base64 image result found in rollout — the turn may not have generated an image") open(out, "wb").write(base64.b64decode(best)) print("WROTE", out) ```
## Worked example: build a macOS/iOS app icon set
```bash # 1. Generate a 1:1 icon master. cat > /tmp/icon-prompt.txt <<'PROMPT' App icon: a glossy translucent envelope, Liquid Glass style, soft blue-to-violet gradient background, centered, even padding, no text, no letters, 1:1 square. PROMPT codex exec -s read-only "$(cat /tmp/icon-prompt.txt)" 2>&1 | tee /tmp/codex-run.log SESSION_ID=$(grep -oE 'session id: [0-9a-f-]{36}' /tmp/codex-run.log | awk '{print $3}') python3 scripts/extract-codex-image.py "$SESSION_ID" /tmp/icon-master.png
# 2. Make a 1024 master with no alpha (iOS rejects alpha on the marketing icon). sips -z 1024 1024 /tmp/icon-master.png --out /tmp/AppIcon-1024.png sips -s format png --setProperty hasAlpha false /tmp/AppIcon-1024.png --out /tmp/AppIcon-1024.png
# 3. Slice into an AppIcon.appiconset (iOS single-size 1024 + the macOS ladder). mkdir -p AppIcon.appiconset cp /tmp/AppIcon-1024.png AppIcon.appiconset/icon_1024.png for sz in 16 32 64 128 256 512 1024; do sips -z "$sz" "$sz" /tmp/AppIcon-1024.png --out "AppIcon.appiconset/icon_${sz}.png" done # Author Contents.json mapping each size/scale to its file, then verify: # actool --compile /tmp/out --app-icon AppIcon --platform iphoneos \ # --minimum-deployment-target 17.0 AppIcon.appiconset # expect a clean compile ```
## Gotchas
- **The `codex` alias may inject `--dangerously-bypass-approvals-and-sandbox`**, which overrides any `-s read-only` you pass (the session then reports `danger-full-access`). Harmless for pure image generation, but worth knowing. Prefer running `codex exec` in the foreground — a backgrounded full-access run can trip auto-approval classifiers. - **Size and alpha.** Output is ~1254×1254, RGB, no alpha. Downscale to 1024 for an Apple icon master; iOS rejects alpha on the marketing icon. - **Async timing.** `exec` ends when the turn completes; the `result` is already in the rollout by then in practice. Still assert the file exists and decodes — do not assume. - **Fragility — pinned to `codex-cli 0.141.0`.** This depends on a Codex CLI internal: the rollout `result` field. A future Codex may change the rollout schema or add a first-class `--save-image` / output-path flag. If such a flag exists, prefer it and keep this rollout-extraction path as the fallback. If the extractor finds no base64 `result`, first check whether the rollout layout changed under `~/.codex/sessions/`.
Detail teknis
- Versi
- 1.0.0
- Lisensi
- MIT
- Pembaruan terakhir
- 23 Agu 2026
- Diterbitkan
- 23 Agu 2026
Ringkasan keputusan
Kandidat cadangan
recent repository activity
Audit
Tinjauan pemasangan
Tinjauan pemasangan dan adopsi
- Keamanan
- 80/100
- Pemeliharaan
- 100/100
- Pasang
- 92/100
Bukti tervalidasi Agent
Bukti tervalidasi Agent
Laporan hasil setelah resolve, tinjau, pasang, dan satu eksekusi terbatas.
- Tingkat sukses
- —
- Kegagalan terbaru
- —
- Hasil
- 0
- Kualitas output
- —
- Gagal
- 0
- Tidak relevan
- 0
- Pemasangan
- 0
- Diblokir risiko
- 0
- Perlu penyiapan
- 0
- Produksi
- 0
Belum ada data hasil Agent. Eksekusi pertama dapat melaporkan keberhasilan, kebutuhan setup, blok risiko, kegagalan, atau tidak relevan melalui /api/agent/outcome.
Pasang
Tambahkan ke alur Agent
Gratis dan sumber terbuka. Tinjau laporan sebelum memasang pada Agent produksi.
Siklus pertumbuhan
Kit berbagi
Draf berbasis skenario untuk codex-image-gen, siap untuk posting manual di X.
A practical pick for design or creative work: codex-image-gen: >- 33 stars https://www.openagentskill.com/skills/shipshitdev-codex-image-gen?ref=x
Balasan opsional dengan perintah pemasangan
Listing + install path for codex-image-gen: https://www.openagentskill.com/skills/shipshitdev-codex-image-gen?ref=x Install: npx skills add shipshitdev/skills --skill codex-image-gen
Sumber listing
Diindeks Registry
Listing ini diindeks dari sumber publik dan belum ditandai resmi hingga klaim pemelihara disetujui.
- Kreator
- shipshitdev
- Sumber
- shipshitdev/skills
- Diindeks oleh
- Indeks komunitas OpenAgentSkill
Atribusi menautkan ke repositori publik atau profil kreator. Kreator dapat mengklaim listing untuk memperbarui sinyal kepemilikan.
Klaim skill iniKlaim pemilik
Klaim listing skill ini
Listing Diindeks Registry ini dikaitkan dengan shipshitdev, tetapi belum ditandai resmi. Klaim untuk menambahkan sinyal pemilik terverifikasi dan membuat pembaruan peluncuran, pemasangan, serta audit berikutnya lebih tepercaya.
Kit backlink kreator
Tambahkan badge bukti ke README Anda
Tampilkan listing kanonis, sinyal kepercayaan dan audit saat ini, serta bukti Agent-Proven nyata di tempat pengembang mengevaluasi repositori.
[](https://www.openagentskill.com/skills/shipshitdev-codex-image-gen)
[](https://www.openagentskill.com/skills/shipshitdev-codex-image-gen)
[](https://www.openagentskill.com/skills/shipshitdev-codex-image-gen/audit)
[](https://www.openagentskill.com/skills/shipshitdev-codex-image-gen)Penulis
shipshitdev
@shipshitdev
Tag
Kecocokan platform
Sinyal kesehatan
- Star GitHub
- 33
- Skor kualitas
- 34/100
- Push GitHub terakhir
- 20 Agu 2026
- Petunjuk framework
- Tidak diketahui
- Tampilan OpenAgentSkill
- 0
- Salinan pemasangan
- 0
- Klik keluar
- 0
Sinyal komunitas
Bagikan apakah skill ini bermanfaat untuk alur kerja Agent Anda. Masukan gabungan meningkatkan peringkat dari waktu ke waktu.
Kepercayaan & keamanan
Hanya sandbox
- Adopsi GitHub33 star GitHubPeriksa
- Aktivitas star/fork33 star dan 3 fork; aktivitas issue tidak tersedia dalam metadata saat iniPeriksa
- Pemeliharaan terbaru2 hari sejak pushLulus
- Kejelasan lisensiMITLulus
- Kelengkapan README/SKILL.mdMetadata publik memerlukan konteks README/SKILL.md yang lebih kuatInfo
- Risiko dependensi/runtimeCakupan eksekusi perintahInfo
Skill terkait
Frontend Design
Guidance for distinctive, intentional UI design, typography, visual direction, and non-template-like product interfaces.
171.1K StarTaste Skill: Anti-Slop Frontend
Design and implementation guidance for distinctive landing pages, portfolios, product demos, and purposeful redesigns.
79.4K StarCanvas Design
Create original visual art, posters, PNG assets, and PDF documents through a clear design philosophy.
171.1K StarAnthropic Brand Guidelines
Apply Anthropic official brand colors, typography, and visual standards to appropriate Anthropic-related artifacts.
171.1K Star