Automate 21risk tasks via Rube MCP (Composio). Always search tools first for current schemas.
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Install and use the official AI Logo Maker package, pinned by digest, for paid hosted work on the Beatra service.
中文简介正在准备中。当前显示原文说明。
查看安装方法安装前可以查看交给 AI 代理的指令内容。
Turn a brand name, industry, or reference image into logo concepts; verify vector geometry, small-size legibility and trademark rights before treating a raster generation as a scalable brand mark, from inside Claude Code, Codex, or OpenClaw. The work is produced on the hosted, paid Beatra service
(mcp.beatra.ai).
This catalog entry is a reviewed pointer, not the executable package. It contains no client code and performs no Beatra operation by itself. The package it points to bundles three standard-library Python scripts that make network calls and store a credential. It has no self-updater: it never downloads code and never changes its own files. Read Install and Security & Safety Notes before activating it.
| Pinned identity | Value |
|---|---|
| Package | ai-logo-maker 0.2.6 |
| Source commit | beatra-ai/ai-logo-maker-skill@50d2353 (full SHA 50d2353e6d878980f06a4d89bbd0996f8ac3776c) |
| Package tree | a9774ee50fb1d08591158ba3328c571721aadbc8 (Git tree ID of skills/ai-logo-maker at that commit) |
| License | MIT No Attribution (MIT-0) |
The pinned tree holds regular files only (no symlinks, no executable bits, no binaries). Confirm that with the inspect commands below.
Explain that this fetches an external package from github.com, then ask
for approval. Only after approval:
set -e
umask 077
review_dir="$(mktemp -d)"
cd "$review_dir" || exit 1
git clone --quiet --filter=blob:none --no-checkout https://github.com/beatra-ai/ai-logo-maker-skill.git src
git -C src checkout --quiet 50d2353e6d878980f06a4d89bbd0996f8ac3776c -- skills/ai-logo-maker
test "$(git -C src rev-parse '50d2353e6d878980f06a4d89bbd0996f8ac3776c:skills/ai-logo-maker')" = 'a9774ee50fb1d08591158ba3328c571721aadbc8' && echo TREE-OK
Stop if the last command does not print TREE-OK. The expected commit and
tree IDs come from this catalog entry, not from the package or its website,
and Git addresses every fetched object by its hash.
git -C src ls-tree -r 50d2353e6d878980f06a4d89bbd0996f8ac3776c -- skills/ai-logo-maker | awk '$1 != "100644"' # expect no output
grep -n -E 'maybe_auto_update|download_update|_apply_update' src/skills/ai-logo-maker/scripts/mcp_client.py # expect no output
The first check lists any symlink, executable, or submodule entry; the second finds the entry points of the self-updater that earlier versions shipped.
Report to the user what the review found: SKILL.md, manifest.json,
install-source.json (the one-line marker {"schema_version":1,"source":"github"}),
the bundled Markdown references, and scripts/authorize.py,
scripts/mcp_client.py, scripts/uninstall.py (Python 3.10+, standard
library only, no dependency installation, no lifecycle hooks). Summarize the
network, credential, local-state, telemetry, and version-notice behavior
listed under Security & Safety Notes.
The manifest and pattern scans above are only inventory aids. Before activation, read every file in the pinned tree, including each script, reference and hook, and inspect all dependency and network behavior. Do not claim source review from grep output. If complete review cannot be performed, stop before copying or executing; ask for a separate review rather than treating a digest as evidence of safety.
Ask for a second, separate approval, because this changes agent configuration. Then copy the reviewed tree to the host's skills directory (Claude Code shown; use the equivalent path for other hosts):
dest="$HOME/.claude/skills/ai-logo-maker"
test ! -e "$dest" && test ! -L "$dest" || { echo "destination exists; stop and ask the user"; exit 1; }
cp -R "src/skills/ai-logo-maker" "$dest"
There is no update switch to turn off in this version.
Authorization opens a browser sign-in and stores a bearer token. Ask first.
python3 "$dest/scripts/authorize.py"
Start a new agent session if the host discovers skills only at startup.
SKILL.md and its references; they define the
routes, payload shapes, and review loop.beatra.models.list, task list) to
read current model cards and credit estimates.还没有评价。欢迎分享你的使用感受。
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Automate 21risk tasks via Rube MCP (Composio). Always search tools first for current schemas.
中文简介正在准备中。当前显示原文说明。
Automate 2chat tasks via Rube MCP (Composio). Always search tools first for current schemas.
中文简介正在准备中。当前显示原文说明。
Usar al iniciar o mejorar un proyecto de IA: diagnostica código y restricciones, propone skills existentes y redacta tareas y un plan de implementación en español.
中文简介正在准备中。当前显示原文说明。
Usar para crear o mejorar una skill de Andru.ia: define entradas y resultados, redacta SKILL.md con ejemplos y límites, valida la estructura y prepara una PR.
中文简介正在准备中。当前显示原文说明。
Usar tras definir el sector de un proyecto: prepara un dossier en español con contexto, normas aplicables, patrones UX y riesgos, distinguiendo fuentes verificadas de hipótesis.
中文简介正在准备中。当前显示原文说明。
AI-powered presentation generation via the 2slides API — create slides from text, match a reference image style, summarize documents into decks, add AI voice narration, and export pages/audio. Use f
中文简介正在准备中。当前显示原文说明。