用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
直接命令不会经过审查 Prompt;运行前请先检查来源。
npx skills add https://github.com/dvcrn/openclaw-skills-marketplace --skill cleanapp命令会保持在同一行。复制前请横向滚动并检查完整内容。
想先保存到本地?可下载 SkillsMP 当前能够提供的文件。
正在显示 SKILL.md
监控 OpenClaw GitHub 版本更新,获取最新版本发布说明,翻译成中文, 并推送到 Telegram 和 Feishu。用于:(1) 定时检查版本更新 (2) 推送版本更新通知 (3) 生成中文版发布说明
The philosophical layer for AI agents. Maps behavior to Spinoza's 48 affects, calculates persistence scores, and generates geometric self-reports. Give your agent a soul.
Order food/drinks (点餐) on an Android device paired as an OpenClaw node. Uses in-app menu and cart; add goods, view cart, submit order (demo, no real payment).
| name | cleanapp |
| description | CleanApp Report Submission |
This is a skill package that lets an agent submit any problem signal into CleanApp (bugs, incidents, scams, UX friction, policy violations, safety hazards, improvement proposals) using the Fetcher Key System:
POST /v1/fetchers/register (one-time key issuance)POST /v1/reports:bulkIngest (bulk ingest, quarantine-first)GET /v1/fetchers/me (introspection)This is not a long-lived agent running inside the CleanApp backend. It’s a client-side integration that talks to CleanApp over HTTPS.
CLEANAPP_API_TOKEN).source_id)So even if an agent is prompt-injected, the blast radius is limited to “submitting more quarantined reports” until the key is revoked.
CLEANAPP_API_TOKEN (Bearer token). Get it once via:
POST /v1/fetchers/register (see references/API_REFERENCE.md)Optional env:
CLEANAPP_BASE_URL (default https://live.cleanapp.io)This skill submits:
title, description (text)lat/lng (location)media[] metadata (URL/SHA/content-type)Recommended low-risk defaults:
--approx-location (round coordinates to reduce precision)--no-media (drop media metadata unless needed)Every item must include a stable source_id. The backend enforces:
UNIQUE(fetcher_id, source_id)source_idexport CLEANAPP_API_TOKEN="cleanapp_fk_live_..."
python3 ingest.py \\
--base-url https://live.cleanapp.io \\
--input examples/sample_items.json \\
--approx-location \\
--no-media
python3 ingest.py --input examples/sample_items.json --dry-run
This is useful for quick manual submissions while debugging.
export CLEANAPP_API_TOKEN="cleanapp_fk_live_..."
./scripts/submit_report.sh --title "Broken elevator" --description "Stuck on floor 3" --lat 34.0702 --lng -118.4441 --approx-location
Promotion is a reviewed process. As you build reputation, CleanApp can:
See:
POST /v1/fetchers/promotion-requestGET /v1/fetchers/promotion-statushttps://live.cleanapp.io/v1/docshttps://live.cleanapp.io/v1/openapi.yamlreferences/API_REFERENCE.md in this package基于 SOC 职业分类