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/aisee-lab/aisee-plugin/aisee-memorynpx skills add AISEE-LAB/aisee-plugin --skill aisee-memorygit clone --depth 1 https://github.com/AISEE-LAB/aisee-pluginWrote 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/aisee-lab/aisee-plugin/aisee-memory)<a href="https://agentmods.dev/skills/aisee-lab/aisee-plugin/aisee-memory"><img src="https://agentmods.dev/badge/skills/aisee-lab/aisee-plugin/aisee-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 | $0.00095 | $0.00824 |
| Opus 5 | $0.00048 | $0.00412 |
| Sonnet 5 | $0.00019 | $0.00165 |
| Haiku 4.5 | $0.00010 | $0.00082 |
Grade A, and why
aisee: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 4d 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
aisee:memory
引导 agent 低门槛使用项目本地长期记忆，避免手工全树扫描或把记忆误当 OpenSpec 事实。
职责
- 使用
aisee memory inspect --json发现项目记忆状态、路径、类型和限制。 - 使用
aisee memory search --query "<task>" --json检索少量任务相关记忆。 - 需要正文时显式使用
--include-body，只读取 bounded excerpt。 - 用户明确要求写入长期项目记忆时，通过
aisee memory add写入 canonicalaisee/memory/。 - 需要重建索引时运行
aisee memory update-index --json。 - 对“总结这次经验 / 生成候选 / 复盘”先转交
aisee:reflect，确认提升后再写 memory。
不负责
- 不自动写入记忆；写入必须来自用户明确意图。
- 不把项目记忆当 OpenSpec specs、tasks、contracts、source-map 或 baseline 的替代品。
- 不写全局用户记忆、home 目录记忆、跨项目记忆或 agent 私有存储。
- 不维护团队知识库；跨项目可复用知识仍交给
aisee:knowledge-curate和aisee:knowledge。 - 不让
aisee/cache/memory-index.json成为事实源；它只是可删除、可重建 cache。
Workflow
按用户目标选择模式；需要命令细节时读取 references/workflow.md。
| 用户目标 | 处理方式 |
|---|---|
| “检查项目记忆是否可用” | 运行 aisee memory inspect --json。 |
| “查一下本项目偏好/约定” | 运行 aisee memory search --query "<task>" --json；必要时按 --type 缩小范围。 |
| “实现时带项目记忆” | 显式使用 aisee memory search --query "<当前实现任务>" --json。 |
| “记住这个 / 以后本项目都...” | 先确认长期性和类型，再运行 aisee memory add ... --json。 |
| “复盘并沉淀候选” | 交给 aisee:reflect 生成候选；确认提升后再用 aisee memory add。 |
| “索引不一致 / 重建 memory index” | 运行 aisee memory update-index --json。 |
Guardrails
- 读命令默认不返回正文；不要手工读取整个
aisee/memory/树来替代search。 - 写入前说明将写入 canonical
aisee/memory/<type>/、会更新aisee/memory/index.md和 cache。 arch记录架构决策，pref记录稳定偏好，ctx记录有时效的上下文快照，stack记录工具链/版本/环境约束。- 如果 memory 与 OpenSpec、source-map 或 tasks 冲突，以 OpenSpec 相关产物为准，并提示用户是否更新 memory。
- 最终回复说明运行过的命令、命中条目数、写入路径和未验证风险。
What ships with it
3 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.
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.
- 4d ago First seen · 47 lines · 95 tokens per session scan A 0bd8f3b1bd15
aisee:memory is a skill published in the GitHub repository AISEE-LAB/aisee-plugin (11 stars, last pushed 2mo ago), licensed MIT. It adds 95 tokens to every session and 824 once invoked, about $0.0005 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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