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 2428424081cn/Skill-mcp --skill structured-output-json-schemagit clone --depth 1 https://github.com/2428424081cn/Skill-mcpWrote 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/2428424081cn/skill-mcp/structured-output-json-schema)<a href="https://agentmods.dev/skills/2428424081cn/skill-mcp/structured-output-json-schema"><img src="https://agentmods.dev/badge/skills/2428424081cn/skill-mcp/structured-output-json-schema/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/2428424081cn/skill-mcp/structured-output-json-schema"><img src="https://agentmods.dev/badge/skills/2428424081cn/skill-mcp/structured-output-json-schema.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 | $0.00027 | $0.00371 |
| Opus 5 | $0.00014 | $0.00186 |
| Sonnet 5 | $0.00005 | $0.00074 |
| Haiku 4.5 | $0.00003 | $0.00037 |
Grade A, and why
structured-output-json-schema scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 10d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
大模型严格结构化 JSON 输出设计准则
1. Zod / Pydantic 严格 Schema 约束
定义 Schema 时，必须设置 additionalProperties: false，并将所有字段设为 required：
import { z } from 'zod';
export const DecisionResultSchema = z.object({
status: z.enum(['APPROVED', 'REJECTED', 'NEEDS_REVIEW']),
confidenceScore: z.number().min(0).max(1),
reasoning: z.string().min(10).describe('详细决策依据，不少于 10 字'),
suggestedActions: z.array(z.string()).describe('推荐执行动作清单'),
}).strict();
export type DecisionResult = z.infer<typeof DecisionResultSchema>;
2. 容错与 JSON 修复流
大模型偶尔会输出包含 Markdown 代码块 (json ... ) 或尾随逗号。必须在反序列化层增加清洗容错：
export function safeParseJson<T>(rawText: string, schema: z.ZodType<T>): T {
let cleaned = rawText.trim();
// 去除 markdown 标记
if (cleaned.startsWith('```json')) cleaned = cleaned.replace(/^```json\s*/, '');
if (cleaned.startsWith('```')) cleaned = cleaned.replace(/^```\s*/, '');
if (cleaned.endsWith('```')) cleaned = cleaned.replace(/\s*```$/, '');
const parsed = JSON.parse(cleaned);
return schema.parse(parsed);
}
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.
- 10d ago First seen · 39 lines · 27 tokens per session scan A 0f2c40be5bb3
structured-output-json-schema is a skill published in the GitHub repository 2428424081cn/Skill-mcp (1 stars, last pushed 16d ago), licensed MIT. It adds 27 tokens to every session and 371 once invoked, about $0.0001 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 2026-08-31.
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