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 openJiuwen-ai/agent-memory --skill agent-memory1.0_skillgit clone --depth 1 https://github.com/openJiuwen-ai/agent-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/openjiuwen-ai/agent-memory/agent-memory1.0_skill)<a href="https://agentmods.dev/skills/openjiuwen-ai/agent-memory/agent-memory1.0_skill"><img src="https://agentmods.dev/badge/skills/openjiuwen-ai/agent-memory/agent-memory1.0_skill.svg" alt="Measured on agentmods" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00031 | $0.05528 |
| Opus 5 | $0.00015 | $0.02764 |
| Sonnet 5 | $0.00006 | $0.01106 |
| Haiku 4.5 | $0.00003 | $0.00553 |
Grade A, and why
agent-memory1.0_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 8d 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.
How it starts
The opening of the file, as written. The whole thing — 582 lines — stays where its author put it; the contents beside it link to each section on GitHub.
agent-memory1.0_skill
触发条件
需要召回或写入用户历史处理记忆时调用。本 Skill 直接调用 agent-memory1.0 容器的 HTTP API（端口 8517）， 不依赖 MemoryRail 框架。内置熔断器、批量写入缓冲、fail-open 降级等完整功能。
call_mcp 参数
召回记忆
{
"script_command": "python agent-memory1.0_skill/scripts/run_memory_operation.py",
"script_params": "{\"operation\": \"search\", \"user_id\": \"{user_id}\", \"query\": \"用户 {user_id} 的历史处理记录\", \"top_k\": 5}"
}
写入记忆
{
"script_command": "python agent-memory1.0_skill/scripts/run_memory_operation.py",
"script_params": "{\"operation\": \"save\", \"user_id\": \"{user_id}\", \"content\": \"处理结果...\", \"role\": \"assistant\"}"
}
缓冲写入（批量积累后统一刷新）
{
"script_command": "python agent-memory1.0_skill/scripts/run_memory_operation.py",
"script_params": "{\"operation\": \"save\", \"user_id\": \"{user_id}\", \"content\": \"中间结果...\", \"buffer\": true}"
}
刷新缓冲区
{
"script_command": "python agent-memory1.0_skill/scripts/run_memory_operation.py",
"script_params": "{\"operation\": \"flush\", \"user_id\": \"{user_id}\"}"
}
查看状态
{
"script_command": "python agent-memory1.0_skill/scripts/run_memory_operation.py",
"script_params": "{\"operation\": \"status\"}"
}
更新记忆
{
"script_command": "python agent-memory1.0_skill/scripts/run_memory_operation.py",
"script_params": "{\"operation\": \"update\", \"user_id\": \"{user_id}\", \"mem_id\": \"{mem_id}\", \"memory\": \"修正后的内容...\"}"
}
删除单条记忆
{
"script_command": "python agent-memory1.0_skill/scripts/run_memory_operation.py",
"script_params": "{\"operation\": \"delete\", \"user_id\": \"{user_id}\", \"mem_id\": \"{mem_id}\"}"
}
批量删除记忆
{
"script_command": "python agent-memory1.0_skill/scripts/run_memory_operation.py",
"script_params": "{\"operation\": \"batch_delete\", \"user_id\": \"{user_id}\", \"mem_ids\": [\"mem_abc\", \"mem_def\"]}"
}
更新画像变量
{
"script_command": "python agent-memory1.0_skill/scripts/run_memory_operation.py",
"script_params": "{\"operation\": \"update_variables\", \"user_id\": \"{user_id}\", \"variables\": {\"status\": \"normal\", \"priority\": \"high\"}}"
}
What ships with it
1 file 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.
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.
- 8d ago First seen · 582 lines · 31 tokens per session scan A a4aba975a300
agent-memory1.0_skill is a skill published in the GitHub repository openJiuwen-ai/agent-memory (57 stars, last pushed yesterday), licensed Apache-2.0. It adds 31 tokens to every session and 5,528 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 2026-08-30.
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