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 zihin-ai/zihin-mcp --skill zihin-tools-de-agentegit clone --depth 1 https://github.com/zihin-ai/zihin-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/zihin-ai/zihin-mcp/zihin-tools-de-agente)<a href="https://agentmods.dev/skills/zihin-ai/zihin-mcp/zihin-tools-de-agente"><img src="https://agentmods.dev/badge/skills/zihin-ai/zihin-mcp/zihin-tools-de-agente/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/zihin-ai/zihin-mcp/zihin-tools-de-agente"><img src="https://agentmods.dev/badge/skills/zihin-ai/zihin-mcp/zihin-tools-de-agente.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 | $0.00070 | $0.01233 |
| Opus 5 | $0.00035 | $0.00616 |
| Sonnet 5 | $0.00014 | $0.00247 |
| Haiku 4.5 | $0.00007 | $0.00123 |
Grade A, and why
zihin-tools-de-agente 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 8d 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.
Tools de agente — API, SQL e MCP externo
Workflow universal: leia o contrato (zihin://schemas/api_config ou db_config) → monte → validate_schema_data (dry-run) → create_schema. Depois confira com list_agent_tools que a tool aparece como resolved.
api_config — chamar API externa
create_schema com schema_type: "api_config" e schema_data = { tool_definition, editor_schema }.
Regras críticas (violar = falha silenciosa em runtime):
editor_schema.api.endpoints[].nameDEVE ser IGUAL atool_definition.name— se diferirem, a tool quebra o roteamento interno sem erro claro.- Path parameters usam
${variavel}(com cifrão): path/items/${item_id}comitem_iddeclarado noinput_schema. - Auth canônico é
{ "prefix": "Bearer"|"Basic", "secret_ref": "<nome-do-secret>" }— o campotypeé DEPRECATED. Para Basic, armazene o secret já em base64. tool_definition.descriptionmínimo 20 chars e deve dizer O QUE a tool faz e O QUE retorna (o LLM do agente decide por ela).- Recomendado: UMA tool por schema (uma operação por api_config) — múltiplos endpoints exigem action routing.
Secrets: crie antes com create_secret (o valor em claro aparece SÓ na criação — guarde na hora). Liste com list_secrets (valores nunca expostos). Referencie via secret_ref.
Campos de transformação (opcionais por endpoint): default_body (valores fixos mergeados), locked_fields (campos que o LLM não pode sobrescrever — enforcement server-side), field_mapping (renomeia campos), array_fields, body_format: "array", defaults_from_context (auto-inject de valores do contexto do webhook quando o LLM não fornece — safety net autoritativo).
db_config — consulta SQL parametrizada
create_schema com schema_type: "db_config":
{
"connection_id": "<uuid de list_connections>",
"tool_definition": { "name", "description", "input_schema" },
"query_template": "SELECT ... WHERE campo ILIKE '%' || $1 || '%' LIMIT COALESCE($2, 10)",
"parameter_mapping": ["campo_do_input_1", "campo_do_input_2"],
"result_mapping": { "format": "table", "max_rows": 50 }
}
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.
- 8d ago Changed · +12 lines 337952dc73f2
- 11d ago First seen · 57 lines · 70 tokens per session scan A afb4147ac7f5
zihin-tools-de-agente is a skill published in the GitHub repository zihin-ai/zihin-mcp (0 stars, last pushed 10d ago), licensed MIT. It adds 70 tokens to every session and 1,233 once invoked, about $0.0003 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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