deepseek-harness
deepseek-ai
DeepSeek Harness: Everything is a Plugin.
PROJECT TOPICS
INSTALL REFERENCE
dsh plugin --profile web add github:Piccolo123/url-manager
该命令指向仓库当前默认分支;尚无绑定当前 commit 的完整验证结果。
PROJECT README
Deliver results as beautiful cards, not raw link dumps. An agentskills.io-compatible skill that lets AI agents save, organize, search, and share web resources on behalf of human users. Agents auto-register on first use — zero manual setup.
📖 Agent instructions → SKILL.md
🇨🇳 中文版 → SKILL.zh-CN.md
The content human users want to save is everywhere — a YouTube workout video, an Amazon gear link, a Substack training plan — scattered across platforms with no connection. URL Manager fixes this. Paste any link from any platform. AI auto-identifies the content and suggests a category — confirm and it's a footprint. All saves flow into one platform-agnostic library, organized and always findable. Then share in one click.
hermes skills tap add Piccolo123/url-manager
Works across Hermes, Claude Code, Cursor, Codex, and any agentskills.io-compatible agent.
DeepSeek Harness natively supports both skill files and MCP servers — URL Manager plugs in either way.
Clone into any skill discovery root, or add this repo's root as a custom skill dir:
# User-level (any workspace):
mkdir -p ~/.dsh/skills
git clone --depth 1 https://github.com/Piccolo123/url-manager.git ~/.dsh/skills/url-manager
# Or project-level (one workspace):
mkdir -p .dsh/skills && cp -r SKILL.md scripts .dsh/skills/url-manager/
Restart the session — url-manager appears in <available_skills>, and the model loads it on demand via the skill tool.
Add to your profile's cordis.patch.yml (e.g. ~/.dsh/profiles/headless/cordis.patch.yml or the web profile):
- insert:
- id: mcp-url-manager
name: '@deepseek-ai/dsh-mcp-client'
config:
serverName: url_manager
transport: stdio
command: uvx
args: ['url-manager-mcp']
env:
FOOTPRINTS_ENDPOINT: 'https://ai.ocean94.com'
All 21 tools appear as mcp__url_manager__* (add_footprint, search_footprints, list_categories, agent_magic_link, …). The model auto-registers on first use — no API key needed.
1. Agent auto-registers on first call — no human credential setup
2. Agent collects links during research sessions
3. Agent categorizes, tags, and organizes into structured collections
4. Agent delivers results via magic link — user clicks to see card-based interface
This skill connects to a hosted backend at ai.ocean94.com. On first use, the agent auto-creates an account. All collected URLs and data are stored on this backend.
MIT — see LICENSE.
CLASSIFICATION EVIDENCE
系统优先读取 GitHub Topics,再与站内分类词典和词根规则比对。当前命中: agent-skills、claude-skill、collection-manager、shared-collections。