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 skills add auuduu/dsh-timem-memory --skill timem-writing-memorygit clone --depth 1 https://github.com/auuduu/dsh-timem-memoryWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/auuduu/dsh-timem-memory/timem-writing-memory)<a href="https://agentmods.dev/skills/auuduu/dsh-timem-memory/timem-writing-memory"><img src="https://agentmods.dev/badge/skills/auuduu/dsh-timem-memory/timem-writing-memory.svg" alt="Measured on agentmods" height="20"></a>What 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 5.1 | $0.00132 | $0.00827 |
| Opus 5 | $0.00066 | $0.00413 |
| Sonnet 5 | $0.00026 | $0.00165 |
| Haiku 4.5 | $0.00013 | $0.00083 |
Grade A, and why
timem-writing-memory 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 7d 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
TiMEM Writing Memory（DSH 适配版）
编排 writing 场景（domain=writing，expert_id=writer）的记忆搜索与写入，只用 MCP 原子工具。
可用性检查
TiMEM 工具在 DSH 中以 mcp__timem__* 命名（mcp__timem__search_memories、mcp__timem__create_memory 等）。
若工具列表中不存在这些工具，说明 TiMEM MCP 未连接——跳过本 skill，不要猜别的工具名。
触发
TiMEM MCP 已连接时 —— 每个写作回合，无例外。
每回合清单
1. mcp__timem__search_memories(domain="writing", query_text=3-12 词, session_id=可选系列名) —— 回答之前
2. 使用回忆出的风格/受众背景生成回答
3. mcp__timem__create_memory(domain="writing", messages=[2-4 轮最近对话]) —— 回答之后，每回合
4. 用户消息含「记」字 → 必须调用 mcp__timem__create_memory（与第 3 步重复，但明确强制）
不跳过。「我直接写也行」不是跳过理由。「一次性修改」不是跳过理由。
参数
| 字段 | 取值 |
|---|---|
domain |
writing |
session_id |
可选 —— 稳定的系列/文档名（如 blog-2026、product-launch-copy），不用随机 UUID |
优先记忆什么
- 风格与语气偏好
- 目标受众与声音
- 常用短语、示例、禁用词
- 用户偏好的格式或主题
示例
用户：「按之前的语气写一段产品介绍」
mcp__timem__search_memories(domain="writing", query_text="产品介绍 语气 风格", session_id="product-launch-copy")→ 命中既有语气规范- 按既有风格写产品介绍
mcp__timem__create_memory(domain="writing", session_id="product-launch-copy", messages=[...最近对话...])
用户：「记住，我们的文案风格要简洁直接」
mcp__timem__search_memories(domain="writing", query_text="文案风格 简洁直接", session_id="product-launch-copy")- 确认作答
mcp__timem__create_memory(domain="writing", session_id="product-launch-copy", messages=[...最近对话...])—— 「记」字触发，必须保存
反模式
- 纯写作任务不要用
domain=coding - 不要跳过搜索或写入 —— 每个回合，无例外
- 不要把整篇文章塞进
messages—— 只概括约束
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.
- 7d ago First seen · 68 lines · 132 tokens per session scan A 28b9c8f09447
timem-writing-memory is a skill published in the GitHub repository auuduu/dsh-timem-memory (0 stars, last pushed 21d ago), licensed MIT. It adds 132 tokens to every session and 827 once invoked, about $0.0007 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
causal-memory
Causal memory for agents — install/setup the causal-memory MCP server, then record decisions/outcomes and recall them before acting. Trigger when the user asks to install or set up causal-memory/agent memory, when causal-memory MCP tools are available and the agent faces a non-trivial decision (architecture, debugging…
event-review
A weekly review process for event logs and leftover task records, turning repeated problems or useful lessons into proposed memory, knowledge, or skill entries.
handoff
Compact the current conversation into a handoff document for another agent to pick up.
Context Doctor
Identify and repair degradation in system prompt, external memory, and skills preventing you from following instructions or remembering information as well as you should.
dsh-sdk-upgrade
Safely select and install a compatible official @deepseek-ai SDK release for dsh plugin projects (dsh-web, dsh-trading, and similar monorepos) from npm using an isolated worktree, explicit cohort review, CI-equivalent validation, and controlled rollout — including syncing the project's declared DSH host-version floor…
dsh-web-sdk-compatibility
Adapt and repair dsh-web after an approved official @deepseek-ai SDK/runtime cohort is selected or installed. Compare public API, type, service-injection, module-table, protocol, and behavior changes; map every change to repository consumers; implement the smallest fixes and durable compatibility contracts; handle…