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 Holden323/ldm-skill --skill ldm-memory-systemgit clone --depth 1 https://github.com/Holden323/ldm-skillWrote 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/holden323/ldm-skill/ldm-memory-system)<a href="https://agentmods.dev/skills/holden323/ldm-skill/ldm-memory-system"><img src="https://agentmods.dev/badge/skills/holden323/ldm-skill/ldm-memory-system/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/holden323/ldm-skill/ldm-memory-system"><img src="https://agentmods.dev/badge/skills/holden323/ldm-skill/ldm-memory-system.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00175 | $0.01136 |
| Opus 5.5 | $0.00070 | $0.00454 |
| Sonnet 5.5 | $0.00035 | $0.00227 |
| Haiku 4.5 | $0.00017 | $0.00114 |
Grade A, and why
ldm-memory-system 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 1mo 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
认知资产治理
目标是让重要信息放在合适的层级，只有一个可维护的真源，仍然准确并且找得到。
先确定任务模式
- 诊断或体检：只读检查，给出证据和候选清单。
- 搭建或重构：先了解现有项目与入口，再提出可审查的结构方案。
- 执行整理：按用户明确授权的范围修改；涉及范围不明的删除或批量移动时，先给具体清单。
- 单条写入：判断应写入 Memory、文档、Skill 还是配置，不必运行全套扫描。
用户明确指定了某条内容的保留、移动或删除方式时，以当前指令为准。不要用 Skill 的默认流程覆盖用户选择。
四问
对 Memory 条目、文档、Skill 和指针统一判断：
- 住哪层：这是长期偏好、项目事实、可复用流程还是环境配置？
- 真源在哪：哪个位置负责更新？其他位置是否只是索引或过时副本？
- 还准吗：路径、链接、数字、版本和项目状态能否当场验证？
- 找得到吗：入口是否足够让人和 Agent 快速定位？只有存在真实导航困难时才补索引。
分层原则
- Skill：可重复执行的方法、领域规则和工具流程。
- 项目文档：项目事实、决策、素材、产出和历史。
- Memory：跨会话经常需要的偏好、当前状态和短指针。
- 配置文件或密钥存储：凭证、运行参数和环境事实。
一条信息只设一个真源。其他层可留简短指针，但不要复制正文。Memory 的容量应由检索价值决定，不把它当完整数据库。
维护流程
目录或知识库体检时：
-
明确扫描范围和当前任务，不默认扩大到全部工作区。
-
对目录运行只读扫描：
python3 scripts/scan.py <目标目录> [--depth 2] [--compact] -
结合实际内容解释候选项。脚本发现同名、缺 README 或散落文件，不等于必须删除或移动。
-
输出需要处理的候选项：重复或僵尸、应迁移的信息、失效指针。每项说明证据、目标位置和风险。
-
执行已明确授权的修改；范围不明的删除、覆盖或批量迁移需等用户确认具体清单。
-
修改后重新验证指针、入口和真源，不为凑流程重复全量扫描。
详细维护步骤见 references/scan-workflow.md。只有任务涉及目录结构时才读 references/folder-rules.md。
搭建流程
从零搭建或大幅重构时，读取 references/setup-guide.md。先利用已有 README、目录和 Memory 推断结构；只有缺失信息会改变方案时再提问。
不要强迫每个目录拥有 README，也不要按固定行数决定文档是否需要章节。索引和分层的复杂度应与实际查找成本相称。
安全与真实性
- 不把完整密钥、Token 或敏感凭证写进 Memory、文档或报告。
- 项目完结状态不能仅凭不活跃、离职或停更推断；若处置依赖该状态，列为待确认事实。
- “降级”是把详情移到合适真源并保留必要指针，不是让仍有价值的信息消失。
- 删除已有内容前确认目标和真源；用户已经明确点名并授权删除时，不重复索要相同确认。
- 外部链接、云文档和定时任务优先用只读方式验证。
经验与评测
需要追查历史事故或维护本 Skill 时再读 references/pitfalls.md，不要把案例库全部加载进普通治理任务。
完成标准：用户能说明重要信息在哪里更新；重复规则减少；关键指针有效；未经授权的内容未被移动或删除；报告没有泄露凭证。
What ships with it
14 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.
- evals/evals.json 3.1 KB
- evals/results/6ce497c.json 4.7 KB
- README.en.md 2.9 KB
- README.md 2.6 KB
- references/folder-rules.en.md 4.5 KB
- references/folder-rules.md 3.9 KB
- references/pitfalls.en.md 12 KB
- references/pitfalls.md 9.4 KB
- references/scan-workflow.en.md 4.0 KB
- references/scan-workflow.md 3.3 KB
- references/setup-guide.en.md 5.1 KB
- references/setup-guide.md 4.3 KB
- scripts/scan.py 8.3 KB runs code
- SKILL.en.md 5.2 KB
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.
- 1mo ago Changed · -79 lines · -20 tokens per session d062eee8ee5e
- 1mo ago Changed · +8 lines 7bc17ef57220
- 1mo ago First seen · 147 lines · 195 tokens per session scan A 528fe226ba1b
ldm-memory-system is a skill published in the GitHub repository Holden323/ldm-skill (43 stars, last pushed 1mo ago), licensed MIT. It adds 175 tokens to every session and 1,136 once invoked, about $0.0007 per session on Opus 5.5. 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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