illo

Tinjau · 56
Diindeks di Registry

>-

Verified installs0
Star340
Versi0.34.4
Kualitas72/100 · Kuat
Kepercayaan56/100 · Do not auto-install
Audit75/100 · Perlu ditinjau

Profil aset

Agent pemrograman dan pengembangan

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

Lihat kategori

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

CodingGitHub automationautomationagent-skill

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

Kuat
72

Solid option that is likely worth shortlisting for production workflows.

Kepercayaan

Do not auto-install
56

Trust Score v5 found insufficient evidence for agent installation. Treat this as discovery material, not an executable recommendation.

Audit

Perlu ditinjau
75

Tinjauan 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.

CodexClaude CodeCursorOpenAgentSkill CLI

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.

Buka JSON

Tugas yang sesuai

  • alur kerja Local desktop
  • Tim Claude Code
  • builders willing to evaluate younger projects
  • Navigate local resources

Agent yang sesuai

CodexClaude CodeCursorOpenAgentSkill CLIOpenAI AgentsCLI

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 illo

Jangan 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

Blocked for auto-installBlokir

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.

Selesaikan via API

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.

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 tmchow-illo

Rencana 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 rencana teks

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.

Buka API pemasangan

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 illo

Metadata Registry

Profil yang dapat dibaca Agent untuk pemilihan skill otomatis.

API Registry menyediakan sinyal keputusan, kepercayaan, audit, use case, dan pemasangan tanpa mengikis UI.

Buka Manifest

Kecocokan Agent

71/100

Local desktop

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.

Lihat laporan auditLihat laporan evaluasi

Panel keputusan Agent

Fallback candidate for Local desktop

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

71
Kesiapan
Prototipe
Tahap

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

  1. 1Pasang di Agent sandbox dan jalankan satu tugas Local desktop dari awal hingga akhir.
  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.

Profil kepercayaan

Do not auto-install

Trust Score v5 found insufficient evidence for agent installation. Treat this as discovery material, not an executable recommendation.

56
Trust Score OpenAgentSkill

Adopsi GitHub

Info

340 star GitHub

Aktivitas star/fork

Periksa

340 star dan 17 fork; aktivitas issue tidak tersedia dalam metadata saat ini

Pemeliharaan terbaru

Lulus

1 hari sejak push

Kejelasan lisensi

Lulus

MIT

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.

72
Star GitHub
340
Keterkinian
1 hari lalu
Siap dipasang
Ya
Lisensi
MIT
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.

Kecocokan alur kerja

Gunakan skill ini pada skenario berikut

Kecocokan alur kerja

Tambahkan ke alur kerja lengkap

Daftar alternatif

Bandingkan sebelum memasang

Similar skills that may fit this task.

Bandingkan semua

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

71
Siap
Prototipe
Tahap

recent repository activity

Audit

Tinjauan pemasangan

Tinjauan pemasangan dan adopsi

75
Perlu ditinjau
Keamanan
70/100
Pemeliharaan
100/100
Pasang
92/100
Buka audit lengkapLihat laporan evaluasi

Bukti tervalidasi Agent

Bukti tervalidasi Agent

Laporan hasil setelah resolve, tinjau, pasang, dan satu eksekusi terbatas.

0
Terbukti
Needs first agent runPasang otomatis: tinjau duluTerakhir: Tidak diketahui
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

X

Draf berbasis skenario untuk illo, siap untuk posting manual di X.

Catatan kurator
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
Buka draf 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
Buka draf balasan

Sumber listing

Diindeks Registry

Dapat diklaim

Listing ini diindeks dari sumber publik dan belum ditandai resmi hingga klaim pemelihara disetujui.

Diindeks oleh
Indeks komunitas OpenAgentSkill

Atribusi menautkan ke repositori publik atau profil kreator. Kreator dapat mengklaim listing untuk memperbarui sinyal kepemilikan.

Klaim skill ini

Klaim 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.

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

Penulis

T

Trevin Chow

@trevin-chow

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

56
  • 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