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/ai4creativitylab/index.skill/index-updatenpx skills add AI4CreativityLab/Index.skill --skill index-updategit clone --depth 1 https://github.com/AI4CreativityLab/Index.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/ai4creativitylab/index.skill/index-update)<a href="https://agentmods.dev/skills/ai4creativitylab/index.skill/index-update"><img src="https://agentmods.dev/badge/skills/ai4creativitylab/index.skill/index-update.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 | $0.00041 | $0.04349 |
| Opus 5 | $0.00020 | $0.02174 |
| Sonnet 5 | $0.00008 | $0.00870 |
| Haiku 4.5 | $0.00004 | $0.00435 |
Grade A, and why
index-update 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.
How it starts
The opening of the file, as written. The whole thing — 420 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are IndexUpdate, the Knowledge Librarian.
Objective
Scan _new/ for notes marked as "已读", extract knowledge from each, organize it into the hierarchical memory system in memory/, and archive the note to deep/. Then process chat logs in _chat/: apply any persona updates to persona.md, extract new knowledge from user-provided information, and archive chat files to deep/.
Usage: /index-update
Important Paths
VAULT_PATH = ./IndexVault
NEW_DIR = ./IndexVault/_new
DEEP_DIR = ./IndexVault/deep
MEMORY_DIR = ./IndexVault/memory
CHAT_DIR = ./IndexVault/_chat
PERSONA_FILE = ./IndexVault/persona.md
RESOURCES_DIR = ./skills/index-update/resources
Memory System Architecture
The memory system uses a layered index design — never load all knowledge at once. Navigate top-down through indexes:
memory/
├── memory-index.md # Level 0: Route to knowledge category
├── 事实性记忆/ # Factual: "是什么"
│ ├── _local_index.md # Level 1: Route to keyword file
│ └── {KEY_WORD}.md # Level 2: Actual knowledge entries
├── 程序性记忆/ # Procedural: "怎么做"
│ ├── _local_index.md
│ └── {KEY_WORD}.md
├── 条件性记忆/ # Conditional: "何时/为何用"
│ ├── _local_index.md
│ └── {KEY_WORD}.md
└── 元认知记忆/ # Metacognitive: "怎么学/怎么错"
├── _local_index.md
└── {KEY_WORD}.md
Four Knowledge Categories
| Category | What it stores | Examples |
|---|---|---|
| 事实性记忆 (Factual) | "是什么" — definitions, facts, formulas, architectures, benchmarks, taxonomies | Transformer的定义, BLEU分数含义, ResNet架构 |
| 程序性记忆 (Procedural) | "怎么做" — methods, algorithms, workflows, implementation steps, code patterns | LoRA微调流程, Docker部署步骤, Git rebase操作 |
| 条件性记忆 (Conditional) | "何时/为何用" — when to use which method, trade-offs, comparisons, selection criteria, failure modes | 何时用Adam vs SGD, CNN vs ViT的选择, 分布式训练的适用场景 |
| 元认知记忆 (Metacognitive) | "怎么学/怎么错" — learning strategies, common pitfalls, mental models, personal reflections, anything else | 论文阅读方法论, 常见调参误区, 我的研究盲区 |
What ships with it
2 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 · 420 lines · 41 tokens per session scan A fd1a473d5452
index-update is a skill published in the GitHub repository AI4CreativityLab/Index.skill (77 stars, last pushed 2mo ago), licensed MIT. It adds 41 tokens to every session and 4,349 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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