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/paralleldrive/aidd/aidd-litnpx skills add paralleldrive/aidd --skill aidd-litgit clone --depth 1 https://github.com/paralleldrive/aiddWhat 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 | $0.00048 | $0.01018 |
| Opus 5 | $0.00024 | $0.00509 |
| Sonnet 5 | $0.00010 | $0.00204 |
| Haiku 4.5 | $0.00005 | $0.00102 |
Grade A, and why
aidd-lit 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 3d 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 — 146 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Lit element authoring
Lit elements live in the components/ layer per structure. Consume Observe and void actions from plugins per service.
Extending DatabaseElement
Binding elements extend DatabaseElement<typeof myPlugin> — either directly or via an intermediate base class. The required plugin must be specified in the generic.
This ensures the plugin's services are extended onto the main database before the element renders, so this.service exposes the correct Observe APIs and actions.
// Direct
export class HelloWorldElement extends DatabaseElement<typeof helloWorldPlugin> {
get plugin() { return helloWorldPlugin; }
}
// Indirect — base extends DatabaseElement, leaf specifies plugin
export class LayoutElement<T extends MyApplicationPlugin = MyApplicationPlugin> extends CoreApplicationElement<T> { }
export class ToolbarElement extends LayoutElement<typeof toolbarPlugin> { }
Binding element vs presentation
BindingElement {
injects: "observed values via useObservableValues"
triggers: "re-render when those values change"
binds: "action callbacks to the presentation"
}
Presentation {
type: "pure function (no hooks)"
receives: "data and action callbacks as props"
returns: "TemplateResult"
constraint: "Keep reactive logic in binding element; presentation stays pure"
}
Testing
Testing {
presentation: "add *.test.ts when appropriate; unit test the presentation"
bindingElement: "not unit tested — no business logic; uses Database service (already unit tested)"
}
useObservableValues
Most binding elements use a single useObservableValues call. Collect all observed values in one object.
Observe only what you need — the minimal values required for rendering. For values that may resolve slowly, wrap with Observe.withDefault so you can render a skeleton (or placeholder) immediately while waiting. See observe.
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.
- 3d ago First seen · 146 lines · 48 tokens per session scan A 3776f92dd85e
aidd-lit is a skill published in the GitHub repository paralleldrive/aidd (380 stars, last pushed 2mo ago), licensed MIT. It adds 48 tokens to every session and 1,018 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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