illo
>-
Profil aset
Agent pemrograman dan pengembangan
Code review, repo analysis, testing, CI, GitHub, DevOps, and developer workflow skills.
Skenario
GitHub automation
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Kecocokan Agent
Claude Code + OpenAI Agents + Cursor
Cocok untuk Codex, Claude Code, Cursor, CLI, atau Agent khusus.
Pasang
Siap
npx skills add tmchow/illo-skill --skill illo
Pemeliharaan
Terkini
1 hari sejak push
Risiko
Perlu ditinjau
Dependency or permission surface needs review
Kualitas GitHub
340
72/100 Kualitas · 64/100 Kepercayaan
Tag cakupan
Catatan ulasan
Dependency or permission surface needs review · Permission surface may require sandboxing
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
KuatSolid option that is likely worth shortlisting for production workflows.
Kepercayaan
Do not auto-installTrust Score v5 found insufficient evidence for agent installation. Treat this as discovery material, not an executable recommendation.
Audit
Perlu ditinjauTinjauan yang dapat dibaca mesin tentang kesiapan pemasangan, metadata keamanan, pemeliharaan, dan risiko adopsi.
Trust Score OpenAgentSkill v5
Tinjauan manusia sebelum pemasangan
Choose a stronger alternative or inspect the source manually before any install attempt.
Star
340 star GitHub
Aktivitas repositori
340 star dan 17 fork
Pemeliharaan
1 hari sejak push
Lisensi
MIT
Pasang
npx skills add tmchow/illo-skill --skill illo
Keamanan pemasangan
Jalur pemasangan paket atau runtime standar
Cakupan izin
secrets or environment access, shell or command execution
Hasil Agent
Belum ada data hasil Agent
Dokumentasi
Usable metadata, review docs
Ringkasan risiko
Tinjau sebelum produksi
- The skill relies on external CLIs (Codex, Grok) and an OpenRouter API key, which may require additional setup and could introduce environment-specific failure modes.
- Financial research output is not financial advice; require human review before any live investment decision.
- Quality score needs review
- Permission surface needs review: secrets or environment access, shell or command execution
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 Local desktop
- Tim Claude Code
- builders willing to evaluate younger projects
- Navigate local resources
Agent yang sesuai
Keputusan pemasangan
- Perintah
- npx skills add tmchow/illo-skill --skill illo
- Kebijakan
- Blokir
- Tinjauan manusia
- Ya
Kepercayaan dan risiko
- Kepercayaan
- 56/100
- Audit
- 75/100
- Tingkat risiko
- Perlu ditinjau
Lingkar hasil
- Endpoint
- /api/agent/outcome
- ID event
- resolve
- Hasil
- 5
Perintah pemasangan
npx skills add tmchow/illo-skill --skill illoJangan gunakan ketika
- Tim yang membutuhkan SLA dengan dukungan vendor
- production agents without a repository review
- The skill relies on external CLIs (Codex, Grok) and an OpenRouter API key, which may require additional setup and could introduce environment-specific failure modes.
- No OpenAgentSkill engagement data yet
- Petunjuk izin berisiko tinggi: Shell or command execution, Secrets or environment access
Keamanan Agent v2
35/100 · Hindari pemasangan otomatis
This skill should not be selected by an agent without explicit human security review.
Do not auto-install. Inspect the source, dependencies, and permission surface first.
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.
Tinggi
Secrets or environment access
Skill metadata references credentials, tokens, environment variables, or secret-bearing workflows.
- Petunjuk izin berisiko tinggi: Shell or command execution, Secrets or environment access
- Dependency or permission surface needs review
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 tmchow-illoRencana 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%20illo%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Teks Resolve
/api/agent/resolve?task=Use%20illo%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Serah-terima pemasangan
/api/skills/tmchow-illo/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 illo in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20illo%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/tmchow-illo/install
Install command: npx skills add tmchow/illo-skill --skill illo
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/tmchow-illo/install
Format teks LLM
/api/skills/tmchow-illo/install?format=text
Cari alternatif
/api/skills/search?q=illo&limit=3
Prompt Agent
Use illo for this task. Review https://www.openagentskill.com/api/skills/tmchow-illo/install, then install with: npx skills add tmchow/illo-skill --skill illoMetadata 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/tmchow-illo
Teks LLM
/api/registry/manifest/tmchow-illo?format=text
Alias pemasangan
/api/registry/install/tmchow-illo
Rekomendasikan
/api/registry/recommend?task=Use%20illo%20in%20an%20agent%20workflow&limit=3
Kecocokan Agent
Local desktop
Tag use case
Platform
Claude Code, OpenAI Agents, Cursor
Laporan audit
Perlu ditinjau · 75/100
Tinjauan yang dapat dibaca mesin tentang kesiapan pemasangan, metadata keamanan, pemeliharaan, dan risiko adopsi.
Panel keputusan Agent
Fallback candidate for Local desktop
Prototype with this skill first; keep a fallback candidate ready.
Peran di stack
Kandidat cadangan
Kecocokan utama
Local desktop
Label kepercayaan
Buat prototipe dulu
Jalur pemasangan
Perintah siap
Gunakan saat
- alur kerja Local desktop
- Tim Claude Code
- builders willing to evaluate younger projects
Bukti
- recent repository activity
- install command or GitHub repo available
- profil kualitas 72/100
tinjau dulu
- The skill relies on external CLIs (Codex, Grok) and an OpenRouter API key, which may require additional setup and could introduce environment-specific failure modes.
- No OpenAgentSkill engagement data yet
Jalur implementasi
- 1Pasang di Agent sandbox dan jalankan satu tugas Local desktop 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
Do not auto-install
Trust Score v5 found insufficient evidence for agent installation. Treat this as discovery material, not an executable recommendation.
Adopsi GitHub
Info340 star GitHub
Aktivitas star/fork
Periksa340 star dan 17 fork; aktivitas issue tidak tersedia dalam metadata saat ini
Pemeliharaan terbaru
Lulus1 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
- The skill relies on external CLIs (Codex, Grok) and an OpenRouter API key, which may require additional setup and could introduce environment-specific failure modes.
- Financial research output is not financial advice; require human review before any live investment decision.
- Quality score needs review
- Permission surface needs review: secrets or environment access, shell or command execution
- Stars/forks activity: 340 stars, 17 forks; issue activity unavailable in current metadata
- Dependency/runtime risk: command execution surface, credential or environment access
- Permission surface: secrets or environment access, shell or command execution
- Belum ada laporan hasil Agent nyata
- Tinjauan manusia diperlukan sebelum pemasangan tanpa pengawasan
Tindakan yang disarankan
Choose a stronger alternative or inspect the source manually before any install attempt.
Profil kualitas
Kuat kandidat untuk alur kerja Agent
Solid option that is likely worth shortlisting for production workflows.
Kecocokan alur kerja
Gunakan skill ini pada skenario berikut
Operate local tools
Local desktop
I need my agent to operate local files and desktop apps in a repeatable workflow.
Automate repeated work
Workflow automation
I need my agent to automate a repeated workflow across tools and files.
Manage repositories
GitHub automation
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Kecocokan alur kerja
Tambahkan ke alur kerja lengkap
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.
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.
Daftar alternatif
Bandingkan sebelum memasang
Similar skills that may fit this task.
UI-TARS Desktop
Run multimodal agents that operate desktop interfaces
MoneyPrinterTurbo
利用AI大模型,一键生成高清短视频 Generate short videos with one click using AI LLM.
Cua
Open-source infrastructure for Computer-Use Agents. Sandboxes, SDKs, and benchmarks to train and evaluate AI agents that can control full desktops (macOS, Linux, Windows).
Ringkasan
--- name: illo description: >- Creates original editorial illustrations where a recurring mascot character performs the idea — one caught scene by default, a hand-built explainer diagram (a flow, fan-out, timeline, loop, or stack) when the structure itself is the point, or a transparent character cutout (pose-only compositing asset, no scene or text) — in one of seventeen bundled looks (sixteen print, plus a photoreal toy-brick set). Also handles "surprise me" / "random" (optionally scoped to a focus or character): rolls provenance, builds three saying candidates, picks via interactive choice or auto-pick-best (`--autopick`), and renders one image. Triggers only when the skill is directly invoked or "illo" is requested; never on generic illustrate / draw / make-an-image requests. # x-release-please-start-version version: 0.34.4 # x-release-please-end argument-hint: "[idea or article URL] | build a character | install <character> | surprise me [focus] [--autopick] [using character]" author: Trevin Chow license: MIT metadata: hermes: tags: [illustration, riso, image-generation, editorial, mascot, codex, grok, openrouter] category: creative requires_toolsets: [terminal] openclaw: emoji: "🎨" homepage: https://illo-skill.com os: [macos, linux] requires: bins: [python3] ---
# Illo
Make original, distinctive editorial illustrations for written content. One image explains one idea: a key judgment, a flow, a before/after, a trap, a loop. A **recurring mascot** is the one performing the idea in every scene — the subject, never decoration. When one idea advances through stages, it can be a **mini-comic**: 2–4 panels inside a single image. And when the idea is itself a traceable structure — a pipeline, a fan-out, a timeline, a loop — it can be an **explainer**: the same mascot and look drawing the structure as a hand-built sketch-diagram with arrows and callouts (`references/composition.md`, "Two registers"; editorial scene is always the default). Or a **character cutout**: the mascot alone on a transparent PNG for downstream overlay — pose and contact continuity only, no idea, no text, no environment (`references/cutout.md`).
This is a configurable house style, not a generic image generator. The **methodology is the constant**; the **character pack and palette are the parameters** — and a character pack carries its **style** with it: one look per pack, chosen from the bundled look library (riso — grainy halftone, ink-layer offset, paper grain, one bold softly-rounded outline — plus blueprint, woodcut, pixel, clay, manila, chalk, phosphor, enamel, gouache, felt, diorama, sketchbook, bricks, fizz, bloom, and snes) or a custom style file. The default mascot is **Blot**, a deadpan ink-drop in riso. Palettes come from presets, the user's own palette file, or one derived color. Whatever the parameters, it is intentionally not a photo — with one deliberate exception, the `bricks` look, a toy-brick photography style — not a logo, not a corporate infographic, not a formal flowchart, not a UI mockup.
## Use cases — route the request
| The user wants | The path | |---|---| | **Illustrate an article / post / newsletter / URL** | Steps 0–7: route the source first (thesis → coverage: hero / hero+set / set / mini-comic — `references/composition.md`, "Source routing"), then shot list (hero row + anchors), one image per anchor, interleave by placement. | | **One image for a single concept** | Step 1 concept branch (up to ~3 quick questions if the idea is thin), then a single image. | | **Surprise / random** — "surprise me", "random", "surprise me with art quote using bray", "surprise me --autopick" | Read `references/surprise.md` in full: Step 0 first, then character + provenance (ignore `defaultCharacter`; `* quote` forces a cited quote; else ~1/3 roll), build **three** safe candidates, interactive picker or auto-pick-best (`--autopick` preferred for schedulers), then register from the locked saying, then Steps 3–7 as one image. Deliver saying + image. Poster titles default off; mini-comics still get per-panel labels. | | **A sequence — process, before→after, fail→fix** | One **mini-comic** when the progression sits in one place (shape routing in `references/composition.md` — the idea picks the shape, the destination never does). | | **A traceable structure** — "show the flow", "diagram the pipeline", "map the steps", "as an explainer" | The **explainer register** (`references/composition.md`, "The explainer register"): a hand-built flow / fan-out / timeline / loop / stack / system slice in the active look, the mascot a working part of it. Also reachable without the phrases when a unit's thesis IS the structure (the register gate). | | **Social-ready art for X posts / article body images** | 16:9 (or 1:1 when square is explicitly useful), bold `ink-punch`, watermark with the `x` handle if configured or asked. | | **X Article banner / hero image** | Use the unique banner format: **1536 × 640 px** when the user asks for an X Article hero/banner. Prompt and render through the normal `illo.py generate` image pipeline, with normal, undistorted character/object proportions and crop-safe breathing room. Do not satisfy this by manually compositing or rebuilding crops from another image unless the user explicitly asks for post-processing. | | **Blog / brand / site-matched art** | A named or custom palette, or derive the palette from one dominant color (`references/palettes.md`). | | **Their own mascot** — "make me a character", "use our mascot", "replace Blot" | The character builder: read `references/character-builder.md` in full and follow it end to end. | | **Community characters** — "what characters are available", "install blip", "install all characters", "update mole", "publish my character" | `references/pack-sharing.md` — engine `packs list/show/install/update`, including `packs install --all`; publish via a GitHub PR. | | **A different look** — "in blueprint", "woodcut style", "pixel version of blip" | Styles travel with character packs: build a **style variant pack** via `references/character-builder.md`, "Style variants". | | **Options to pick from, or "which model is best"** | Step 5b: `--count` variations or a model loop → `gallery` with a recommendation. | | **Fix an existing image** (stray title, recolor, mascot too decorative) | Edit prompts in `references/prompt-recipe.md`, passing the image back as `--ref`. | | **Character cutout / transparent PNG / overlay sticker** — "just the mascot", "no background", "paste on something else" | The **cutout register** (`references/cutout.md`): read in full, prompt from `references/prompt-recipe.md` "Cutout variant", generate with `--cutout` and `--aspect 1:1`. OpenRouter cutouts default to GPT Image 2 (not Grok). Not for explaining an idea — reroute to editorial if the ask needs a scene. | | **Animated idle / bot avatar / looping GIF of the mascot** | The **cutout register** plus `references/cutout.md`, "Idle loop / bot avatar": one transparent 1:1 cutout with `--cutout` and the character sheet as `--ref`, then programmatic motion on that PNG. |
## Prerequisites
The engine (`scripts/illo.py`, stdlib Python, no installs) renders through one of **three engine backends**; `python3` and network access are the only hard requirements. **Grok Bot** (Cursor's Grok Bot / the Grok desktop assistant) is a fourth, agent-side transport: use its built-in Grok image tool directly, not `illo.py generate`, when no user config explicitly selects an engine backend.
**Running the engine — set `$SKILL_DIR` inline in each block.** Every engine command below is `python3 "$SKILL_DIR/scripts/illo.py" …`. Set `SKILL_DIR` to the absolute path of the directory this `SKILL.md` was loaded from (it contains `scripts/illo.py` and `assets/`) **in the same command block that uses it** — shell state does not persist between separate command runs, so a value set in an earlier block is gone by the next. If the harness does not expose that path, find the installed `scripts/illo.py` and use its parent; if neither resolves, stop rather than guessing the working directory. The engine self-locates its own bundled assets, so `$SKILL_DIR` only has to be right enough to launch `illo.py` and to point `--ref` at the bundled character sheet.
Write the block **flatten-safe** — some hosts (Codex observed) collapse a fenced block to one line, turning a newline into a space. Terminate the assignment with `;` (`SKILL_DIR="…";` — without it, a flattened `SKILL_DIR="…" python3 "$SKILL_DIR/…"` becomes an env-prefix whose `$SKILL_DIR` expands to empty **before** the assignment applies, so the path collapses to `/scripts/illo.py`). Put **no comment on an assignment or command line** (a flattened `#` comments out the rest of the line and the command silently vanishes), and keep each invocation on **one line** (a flattened `\` continuation injects stray arguments). A wrong or unset value makes `doctor` (Workflow step 0) fail loudly (`can't open file …/scripts/illo.py`) — the signal to fix the path, not a skill fault.
- **Codex backend (free for Codex subscribers).** When the host has a usable **Codex CLI** — installed, `codex login`-ed, with the `image_generation` feature — illo can generate through the user's Codex subscription at no per-image charge (it draws on their Codex quota). No API key, no token: illo only shells out to the user's own CLI. Detected, not assumed; gpt-image-2 is automatic; unsupported on Windows/WSL. - **Grok CLI backend (free for Grok/xAI subscribers).** When the host has a usable **Grok CLI** — installed and `grok login`-ed — illo can generate through the user's Grok subscription via `grok -p` (headless), drawing on their Grok quota. Same env-free, token-free subprocess design as Codex. **Grok returns JPEG with no alpha, so it cannot make transparent cutouts** — those auto-fall back to a cutout-capable backend. The image tool exposes no model selector. - **Grok Bot native transport (agent-side, free for Grok Bot users).** When **you are Grok Bot** — specifically Cursor's Grok Bot / the Grok desktop assistant with the built-in Grok image tool — build the illo prompt and call that tool with the active character's model sheet as a reference image. Do not require the Grok CLI, Codex CLI, or an OpenRouter key; do not treat a missing engine backend as a reason to run `init`. This is not a generic "host image API" rule and not an `illo.py --backend` value. - **OpenRouter backend (paid, direct or explicit fallback).** Needs an **OpenRouter API key** in the user's config file — the **single credential channel** — written once by the user-run `init` (mode 600). The engine never reads secrets from the environment and never accepts them as command-line arguments. A host without a subscription CLI can select this engine path directly. A failed Codex/Grok CLI render does **not** spend money automatically: paid fallback requires `--allow-paid-fallback`. It is **model-selectable** (`--model`).
Capsule of the backend/transport model (resolution and precedence, the CLI requirements, the Grok Bot native path, the built-in image tool being automatic, quota vs. charge, cutout limits, Windows/WSL, fallback): **read `references/backends.md` in full before choosing or explaining a backend** — the mechanics live there, once.
### Setup is the user's job (never enter the key yourself)
Entering an API key is something the **user** does. Do not type, paste, print, or store the user's key — direct them to bootstrap it:
- **Bootstrap (user runs it):** `python3 "$SKILL_DIR/scripts/illo.py" init` — prompts for the key at a hidden prompt (never echoed) and writes the YAML config `${XDG_CONFIG_HOME:-~/.config}/illo/config.yaml` (mode 600). It can also store non-secret defaults: `--model`, `--palette`, `--aspect`, `--character`, `--watermark`. Use `--no-key` to update preferences without to
Detail teknis
- Versi
- 0.34.4
- Lisensi
- MIT
- Pembaruan terakhir
- 22 Agu 2026
- Diterbitkan
- 22 Agu 2026
Ringkasan keputusan
Kandidat cadangan
recent repository activity
Audit
Tinjauan pemasangan
Tinjauan pemasangan dan adopsi
- Keamanan
- 70/100
- 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 illo, siap untuk posting manual di X.
For a repeatable workflow, this is a skill worth shortlisting before another blank prompt. illo: >- 340 stars https://www.openagentskill.com/skills/tmchow-illo?ref=x
Balasan opsional dengan perintah pemasangan
Listing + install path for illo: https://www.openagentskill.com/skills/tmchow-illo?ref=x Install: npx skills add tmchow/illo-skill --skill illo
Sumber listing
Diindeks Registry
Listing ini diindeks dari sumber publik dan belum ditandai resmi hingga klaim pemelihara disetujui.
- Kreator
- Trevin Chow
- Sumber
- tmchow/illo-skill
- 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 Trevin Chow, 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/tmchow-illo)
[](https://www.openagentskill.com/skills/tmchow-illo)
[](https://www.openagentskill.com/skills/tmchow-illo/audit)
[](https://www.openagentskill.com/skills/tmchow-illo)Penulis
Trevin Chow
@trevin-chow
Tag
Kecocokan platform
Sinyal kesehatan
- Star GitHub
- 340
- Skor kualitas
- 41/100
- Push GitHub terakhir
- 22 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
Do not auto-install
- Adopsi GitHub340 star GitHubInfo
- Aktivitas star/fork340 star dan 17 fork; aktivitas issue tidak tersedia dalam metadata saat iniPeriksa
- Pemeliharaan terbaru1 hari sejak pushLulus
- Kejelasan lisensiMITLulus
- Kelengkapan README/SKILL.mdMetadata publik memerlukan konteks README/SKILL.md yang lebih kuatInfo
- Risiko dependensi/runtimecommand execution surface, credential or environment accessPeriksa
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