Horse is a lightweight web framework for Delphi and Lazarus programs, providing tools for building HTTP servers and APIs. It is for developers who need routing, request handling, middleware, streaming, WebSockets, and related server features in those languages. Its catalogue skills support working with the framework.
Borrowing it
Nothing to install: this file belongs to HashLoad/horse. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/HashLoad/horse/master/.agents/skills/horse-grpc/SKILL.mdgit clone --depth 1 https://github.com/HashLoad/horseWrote 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/hashload/horse/horse-grpc)<a href="https://agentmods.dev/skills/hashload/horse/horse-grpc"><img src="https://agentmods.dev/badge/skills/hashload/horse/horse-grpc/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/hashload/horse/horse-grpc"><img src="https://agentmods.dev/badge/skills/hashload/horse/horse-grpc.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00033 | $0.00790 |
| Opus 5.5 | $0.00013 | $0.00316 |
| Sonnet 5.5 | $0.00007 | $0.00158 |
| Haiku 4.5 | $0.00003 | $0.00079 |
Grade A, and why
horse-grpc scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 85 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Desenvolvimento gRPC no Horse
Este guia estabelece os padrões e instruções recomendadas para projetar, depurar e estender serviços gRPC usando o provedor nativo de transporte HTTP/2 do Horse.
🟢 Definição de Mensagens e Serviços
Ao gerar ou criar classes de mensagens a partir de arquivos .proto (usando o horse-pb-compiler), garanta que:
- Habilitação de RTTI (
{$M+}): O arquivo contendo as classes geradas deve ter a diretiva{$M+}habilitada para o Delphi e Lazarus. - Propriedades Publicadas: Todas as propriedades anotadas com
[ProtoMember(Tag)]devem residir na seçãopublishedpara a geração correta de metadados de offsets.
Exemplo de Mensagem:
unit users;
{$M+}
interface
uses
System.SysUtils,
Horse.Grpc.Attributes;
type
[GrpcMessage]
TUserRequest = class
private
Fid: Integer;
published
[ProtoMember(1)]
property id: Integer read Fid write Fid;
end;
🟢 Implementação de Serviços gRPC
Ao implementar uma interface de serviço gRPC (ex: IUserService), atente-se às seguintes regras de conformidade arquitetural:
- Desativação de ARC (Contagem de Referências): Sobrescreva os métodos
_AddRefe_Releasepara retornarem-1. Isso previne que a RTTI interna do compilador destrua acidentalmente a instância do objeto durante uma chamada dinâmica ao métodoInvoke. - Retorno Síncrono de Instâncias: Métodos de serviço devem instanciar e retornar os objetos de Response. O provedor gRPC é responsável por liberá-los após a serialização do frame DATA.
Exemplo de Serviço:
type
TUserServiceImpl = class(TInterfacedObject, IUserService)
protected
function _AddRef: Integer; stdcall;
function _Release: Integer; stdcall;
public
function GetUser(const ARequest: TUserRequest): TUserResponse;
end;
function TUserServiceImpl._AddRef: Integer;
begin
Result := -1;
end;
function TUserServiceImpl._Release: Integer;
begin
Result := -1;
end;
function TUserServiceImpl.GetUser(const ARequest: TUserRequest): TUserResponse;
begin
Result := TUserResponse.Create;
Result.id := ARequest.id;
Result.name := 'Nome do Usuário';
end;
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.
- 2mo ago First seen · 85 lines · 33 tokens per session scan A d594fd17ce90
horse-grpc is a skill published in the GitHub repository HashLoad/horse (1,383 stars, last pushed 8d ago), licensed MIT. It adds 33 tokens to every session and 790 once invoked, about $0.0001 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 2026-08-30.
horse-grpc compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| horse-grpcHashLoad/horse | Skill | 1.4k | 8d ago | MIT | A | 33 | Claude Code, Codex |
| api-design-patternsaAAaqwq/AGI-Super-Team | Skill | 114 | yesterday | MIT | A | 29 | Claude Code |
| api-design-patternsbobmatnyc/claude-mpm | Skill | 158 | 2mo ago | none | A | 29 | Claude Code |
| api-design-patternsbobmatnyc/claude-mpm-skills | Skill | 78 | 3mo ago | MIT | A | 29 | Claude Code |
| api-integration-architectsickn33/agentic-awesome-skills | Skill | 49k | yesterday | MIT | A | 33 | Claude Code |
| dmrwemake-services/django-modern-rest | Skill | 1.5k | today | MIT | A | 80 | Claude Code, Codex |
| dmr-openapi-skeletonwemake-services/django-modern-rest | Skill | 1.5k | today | MIT | A | 97 | Claude Code, Codex |