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 XyrusCode/ai-sync --skill memory-widgetgit clone --depth 1 https://github.com/XyrusCode/ai-syncWrote 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/xyruscode/ai-sync/memory-widget)<a href="https://agentmods.dev/skills/xyruscode/ai-sync/memory-widget"><img src="https://agentmods.dev/badge/skills/xyruscode/ai-sync/memory-widget/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/xyruscode/ai-sync/memory-widget"><img src="https://agentmods.dev/badge/skills/xyruscode/ai-sync/memory-widget.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00127 | $0.01061 |
| Opus 5.5 | $0.00051 | $0.00424 |
| Sonnet 5.5 | $0.00025 | $0.00212 |
| Haiku 4.5 | $0.00013 | $0.00106 |
Grade A, and why
memory-widget 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.
How it starts
The opening of the file, as written. The whole thing — 69 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Memory Widget
Render the user's vault memory as a widget — but you do not design the styling. You pick a fixed component, bind real vault data to its contract, and emit it. Style is owned by the component reference + Kimi design tokens; you only do the data wiring. This keeps every memory widget on-brand and stops you re-inventing layout each time.
This works like lark-base and kimi-design-skill: a short menu here, detail in references/.
执行前必做 (read before you emit)
- Read
references/data-contract.mdonce — the exact shape of the vault data the host injects. - Read the component reference for each component you'll use (e.g.
references/calendar.md). Follow itsContract(what data it eats) andFixed Style(do not invent your own variant). - For styling tokens/components, the references inherit
kimi-design-skill; read it when a reference tells you to. Do not invent colors, radii, spacing.
Do not emit a memory widget without having read the matching component reference.
数据来源 (how data reaches the widget)
The host injects the user's live vault into the widget — you never fetch or bake data:
window.DaimonWidget.onVaultData(function (vault) {
// vault.nodes: [{ id, name, type, tags[], created, lastUpdated, content, linkCount }]
// vault.edges: [{ source, target }] // entity↔entity, from body [[wikilinks]]
// vault.about_user: { name, aliases[], facts[], topTags[] }
render(vault);
});
Full field types + nuances live in references/data-contract.md. CSP blocks fetch/CDN — data only
arrives via this callback; the component runtime (KW.*) is pre-injected by the host.
组件菜单 (component menu — read the reference before using)
| 想要 | 组件 | reference | 状态 |
|---|---|---|---|
| 按时间看 entity 何时进入记忆 | Calendar / Timeline | references/calendar.md |
✅ ready |
| 全字段表格(可排序/筛选) | Table | references/table.md |
⏳ TODO |
| 按 tag 分组的卡片墙 | Gallery | references/gallery.md |
⏳ TODO |
| entity 关系网络 | Graph | references/graph.md |
⏳ TODO |
| 「关于你」画像头卡 | Profile | references/profile.md |
⏳ TODO |
| 多组件拼成 dashboard | Layout | references/layout.md |
⏳ TODO |
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.
- 1mo ago First seen · 69 lines · 127 tokens per session scan A fe36b7dad43a
memory-widget is a skill published in the GitHub repository XyrusCode/ai-sync (2 stars, last pushed 18d ago), licensed MIT. It adds 127 tokens to every session and 1,061 once invoked, about $0.0005 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 2026-08-31.
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