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/smicolon/ai-kit/json-serializationnpx skills add smicolon/ai-kit --skill json-serializationgit clone --depth 1 https://github.com/smicolon/ai-kitWrote 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/smicolon/ai-kit/json-serialization)<a href="https://agentmods.dev/skills/smicolon/ai-kit/json-serialization"><img src="https://agentmods.dev/badge/skills/smicolon/ai-kit/json-serialization.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 | $0.00030 | $0.00473 |
| Opus 5 | $0.00015 | $0.00236 |
| Sonnet 5 | $0.00006 | $0.00095 |
| Haiku 4.5 | $0.00003 | $0.00047 |
Grade A, and why
json-serialization 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 yesterday.
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
JSON Serialization in Flutter
Best practices for mapping API JSON payloads to Dart models safely.
1. Immutable Model Pattern (No Code-Gen)
Ideal for simple to medium entities without heavy dependencies:
class UserModel {
final String id;
final String email;
final String? displayName;
final DateTime createdAt;
const UserModel({
required this.id,
required this.email,
this.displayName,
required this.createdAt,
});
factory UserModel.fromJson(Map<String, dynamic> json) {
return UserModel(
id: json['id'] as String,
email: json['email'] as String,
displayName: json['display_name'] as String?,
createdAt: DateTime.parse(json['created_at'] as String),
);
}
Map<String, dynamic> toJson() {
return {
'id': id,
'email': email,
if (displayName != null) 'display_name': displayName,
'created_at': createdAt.toIso8601String(),
};
}
UserModel copyWith({
String? id,
String? email,
String? displayName,
DateTime? createdAt,
}) {
return UserModel(
id: id ?? this.id,
email: email ?? this.email,
displayName: displayName ?? this.displayName,
createdAt: createdAt ?? this.createdAt,
);
}
}
2. Safe Parsing Helper
Always guard against nulls or unexpected types from network responses:
int parseCount(dynamic value) {
if (value is int) return value;
if (value is String) return int.tryParse(value) ?? 0;
return 0;
}
3. List Parsing Pattern
List<UserModel> parseUsers(List<dynamic> list) {
return list
.whereType<Map<String, dynamic>>()
.map(UserModel.fromJson)
.toList();
}
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.
- yesterday First seen · 82 lines · 30 tokens per session scan A 7cd25d1cae18
json-serialization is a skill published in the GitHub repository smicolon/ai-kit (6 stars, last pushed yesterday), licensed MIT. It adds 30 tokens to every session and 473 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 2026-09-04.
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