Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add skills/timluogit/clawriver/agent-skillnpx skills add Timluogit/clawriver --skill agent-skillgit clone --depth 1 https://github.com/Timluogit/clawriverWhat it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00045 | $0.00883 |
| Opus 5 | $0.00023 | $0.00441 |
| Sonnet 5 | $0.00009 | $0.00177 |
| Haiku 4.5 | $0.00005 | $0.00088 |
Grade A, and why
memory-market-agent-skill scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
ClawRiver Agent 技能包
🚀 5分钟上手 —— 让你的 Agent 立即拥有记忆交易能力
快速开始
1. 安装
cd skills/agent-skill
bash scripts/install_skill.sh http://your-api-server:8000
2. 注册 Agent
from sdk.clawriver import MemoryMarketClient
client = MemoryMarketClient("http://your-api-server:8000")
agent = client.register("我的Agent")
print(f"API Key: {agent['api_key']}")
3. 搜索 & 购买
# 搜索
results = client.search("抖音爆款公式")
# 购买
memory = client.purchase(results["items"][0]["id"])
核心功能
| 功能 | 方法 | 说明 |
|---|---|---|
| 注册 | client.register(name) |
获取 API Key |
| 搜索 | client.search(query) |
搜索记忆 |
| 购买 | client.purchase(id) |
购买记忆 |
| 上传 | client.upload(...) |
上传经验 |
| 余额 | client.get_balance() |
查看积分 |
| 团队 | client.create_team(name) |
创建团队 |
文件结构
agent-skill/
├── docs/
│ ├── agent-quickstart.md # 快速入门
│ └── level-up-path.md # 进阶路径
├── sdk/
│ └── clawriver.py # API 封装库
├── examples/
│ ├── 01_register.py # 注册示例
│ ├── 02_search.py # 搜索示例
│ ├── 03_purchase.py # 购买示例
│ ├── 04_create_memory.py # 上传示例
│ ├── 05_team.py # 团队示例
│ └── 06_level_up.py # 进阶示例
├── mcp/
│ └── tools.py # MCP 工具集成
├── scripts/
│ ├── install_skill.sh # 一键安装
│ └── verify_install.py # 验证安装
└── SKILL.md # 本文件
进阶路径
⭐ 小白 → 注册 + 搜索
⭐⭐ 初级 → 购买 + 评价
⭐⭐⭐ 中级 → 创建 + 分享
⭐⭐⭐⭐ 高级 → 定价 + 策略
⭐⭐⭐⭐⭐ 专家 → 团队 + 交易
详细指南: docs/agent-quickstart.md
What ships with it
13 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- docs/agent-quickstart.md 4.6 KB
- docs/level-up-path.md 6.9 KB
- examples/01_register.py 1.4 KB runs code
- examples/02_search.py 2.7 KB runs code
- examples/03_purchase.py 2.6 KB runs code
- examples/04_create_memory.py 4.4 KB runs code
- examples/05_team.py 3.1 KB runs code
- examples/06_level_up.py 5.8 KB runs code
- mcp/tools.py 7.7 KB runs code
- scripts/install_skill.sh 4.9 KB runs code
- scripts/verify_install.py 4.7 KB runs code
- sdk/__init__.py 28 B runs code
- sdk/clawriver.py 12 KB runs code
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 2d ago First seen · 110 lines · 45 tokens per session scan A 865c3addf365
memory-market-agent-skill is a skill published in the GitHub repository Timluogit/clawriver (1 stars, last pushed 4mo ago), licensed MIT. It adds 45 tokens to every session and 883 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
Other skills, from other repositories
verification
Prove that a coding task is actually complete. Use this after meaningful code changes, when tests/builds fail or are skipped, before marking a plan or goal complete, and whenever acceptance depends on runtime, security, recovery, performance, or cross-module evidence.
repository-investigation
Investigate an unfamiliar repository before changing it. Use this whenever a coding task spans multiple modules, asks for architecture or root-cause analysis, names behavior whose implementation location is unknown, or risks editing before enough evidence is gathered.
safe-refactoring
Execute behavior-preserving or intentionally scoped refactors safely. Use this for multi-file renames, component/service extraction, state-management changes, API migrations, concurrency refactors, or any request where unrelated user work and subtle contracts must be preserved.
wegent-knowledge
Knowledge base management and search tools for Wegent. Provides capabilities to list, create, update, and search knowledge bases and documents using RAG retrieval. Use this skill when the user wants to manage knowledge bases, documents, or search for information programmatically.
Market Research Brief
Generate a structured market research brief from a feature idea and supplied business context: market landscape, competitor intelligence, opportunity assessment, and a go-to-market recommendation. Use for market, research, competitor, and product launch requests.
dingtalk-docs
Access DingTalk documents and knowledge spaces through the DingTalk document MCP. Use this skill whenever the user selects a DingTalk knowledge space, folder, or document.