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/dallay/agents-skills/grpc-apinpx skills add dallay/agents-skills --skill grpc-apigit clone --depth 1 https://github.com/dallay/agents-skillsWrote 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/dallay/agents-skills/grpc-api)<a href="https://agentmods.dev/skills/dallay/agents-skills/grpc-api"><img src="https://agentmods.dev/badge/skills/dallay/agents-skills/grpc-api.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 | $0.00068 | $0.02418 |
| Opus 5 | $0.00034 | $0.01209 |
| Sonnet 5 | $0.00014 | $0.00484 |
| Haiku 4.5 | $0.00007 | $0.00242 |
Grade A, and why
grpc-api 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 4d 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 — 355 lines — stays where its author put it; the contents beside it link to each section on GitHub.
gRPC API Development
Build efficient gRPC services using Protocol Buffers for contract-first API design, with support for unary calls, server streaming, client streaming, and bidirectional streaming.
When to Use
- Building microservices that require high-performance binary communication.
- Defining strict service contracts with Protocol Buffers (
.protofiles). - Implementing real-time bidirectional or server-push streaming.
- Creating internal service-to-service APIs in polyglot architectures.
- Optimizing bandwidth in constrained or high-throughput environments.
Critical Patterns
- Contract First: Always define your
.protofile before writing any server or client code. The proto IS your API contract. - Use Proper Status Codes: Map domain errors to gRPC status codes (
NOT_FOUND,ALREADY_EXISTS,INVALID_ARGUMENT, etc.). Never return raw exceptions. - Field Numbering is Forever: Once a proto field number is assigned and released, NEVER reuse it. Add new fields with new numbers; deprecate old ones.
- Streaming for Large Data: Use server streaming for large result sets and client streaming for bulk uploads. Avoid sending massive unary payloads.
- Deadlines Over Timeouts: Always set deadlines on client calls. A missing deadline can hang forever in production.
- TLS in Production: Never use
createInsecure()credentials outside of local development. - Keep Messages Flat: Avoid deeply nested message types. Flatten where possible for better wire efficiency and readability.
Proto Definition Patterns
Complete Service Definition
syntax = "proto3";
package user.service;
message User {
string id = 1;
string email = 2;
string first_name = 3;
string last_name = 4;
string role = 5;
int64 created_at = 6;
int64 updated_at = 7;
}
message CreateUserRequest {
string email = 1;
string first_name = 2;
string last_name = 3;
string role = 4;
}
message UpdateUserRequest {
string id = 1;
string email = 2;
string first_name = 3;
string last_name = 4;
}
message GetUserRequest {
string id = 1;
}
message ListUsersRequest {
int32 page = 1;
int32 limit = 2;
}
message ListUsersResponse {
repeated User users = 1;
int32 total = 2;
int32 page = 3;
}
message DeleteUserRequest {
string id = 1;
}
message Empty {}
// Four RPC patterns: unary, server streaming, client streaming, bidirectional
service UserService {
rpc GetUser(GetUserRequest) returns (User); // Unary
rpc ListUsers(ListUsersRequest) returns (ListUsersResponse); // Unary
rpc CreateUser(CreateUserRequest) returns (User); // Unary
rpc UpdateUser(UpdateUserRequest) returns (User); // Unary
rpc DeleteUser(DeleteUserRequest) returns (Empty); // Unary
rpc StreamUsers(Empty) returns (stream User); // Server streaming
rpc BulkCreateUsers(stream CreateUserRequest) returns (ListUsersResponse); // Client streaming
}
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.
- 4d ago First seen · 355 lines · 68 tokens per session scan A e0480370c063
grpc-api is a skill published in the GitHub repository dallay/agents-skills (2 stars, last pushed 12d ago), licensed MIT. It adds 68 tokens to every session and 2,418 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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