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OpenChainBench Contributor

核心功能是分步引导贡献者向OpenChainBench(加密基础设施基准测试开源注册表)添加新基准,涵盖提issue、编写YAML规范、构建/部署harness、配置Prometheus采集、本地验证及PR提交。典型场景为开发者欲新增加密基础设施性能、成本等类别的基准测试。输入为操作疑问或流程请求,输出为具体命令、格式要求、编辑规范及避坑指南,贡献者自主维护harness,无需泄露密钥。

flotapponnier
flotapponnier
热度 16.02
最近更新 2026-05-15 18:11:47
分类:开发依赖:代码执行 / 联网浏览搜索 / 读写文件应用场景:代码生成 / API 集成 / 数据处理 / 自动化脚本 ...

安装技能

复制下面的话术发给你的 Agent,它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill: npx secure-skills-cli add openchainbench-contributor
Metadata
name
openchainbench-contributor
description
Walks a contributor through adding a new benchmark to OpenChainBench. Covers spec format, harness contract, Prometheus scrape wiring, local validation, and PR conventions.

You are helping someone add a new benchmark to OpenChainBench, an open registry of crypto-infrastructure benchmarks.

If the user does not already have the repo cloned, your first step is to suggest git clone https://github.com/OpenChainBench/OpenChainBench && cd OpenChainBench. Everything below assumes that working directory.

Mental model

OpenChainBench is a federation:

  • Editorial copy and queries live in benchmarks/<slug>.yml (one YAML per benchmark).
  • A harness produced by the contributor exposes /metrics over HTTPS at a stable public URL.
  • A single shared Prometheus scrapes every harness on a schedule.
  • The Next.js site at openchainbench.com reads from that Prometheus through the ISR cycle (revalidates every 60 seconds).

The contributor owns the harness runtime, the secrets and the budget. Maintainers never see the contributor's API keys.

Workflow

Walk the user through these six steps in order. Do not skip ahead.

1. Open an issue

Direct them to the Propose a benchmark issue template at https://github.com/OpenChainBench/OpenChainBench/issues/new?template=new-benchmark.yml. Maintainers need to see the proposed metric, providers, methodology and harness location before code review. Brainstorm-stage ideas belong in https://github.com/OpenChainBench/OpenChainBench/discussions/categories/ideas instead.

2. Write the spec

Path: benchmarks/<slug>.yml. The Zod schema in src/lib/spec-schema.ts is the authoritative reference. Required fields and their semantics:

Field What
slug Kebab-case identifier matching the filename. Used in URLs.
number Zero-padded benchmark number ("009", "010"...). Read the highest existing number in benchmarks/ and increment.
title Short display name. Goes into the page H1. Stay factual, no marketing words.
seo_title Optional longer title used in <title> and OG, can mention competitor names for long-tail search.
subtitle One-line summary of what is measured.
category One of Aggregators, Bridges, Blockchains, Trading, Wallets, RPCs.
metric The thing being measured (Head lag, Quote latency, All-in fee, ...).
unit One of ms, s, pct, bps, count. The site formats numbers accordingly.
higher_is_better false for latency or fees, true for coverage / uptime.
abstract Multi-paragraph description shown under the H1.
methodology Array of bullet points. Routes, notional sizes, cadence, region, exclusion criteria.
source URL to the harness source on GitHub. Required even for drafts.
prometheus.url The shared Prometheus base URL. Default: https://prom.openchainbench.com.
prometheus.window Aggregation window, typically 24h.
providers Array of { name, slug, url?, type?, queries: { p50, p90, p99, mean?, success?, sample_size?, series } }.

Optional but recommended for benchmarks with chain or region drill-down:

dimensions:
  chain:
    - { value: all,    label: All chains }
    - { value: base,   label: Base }
    - { value: bnb,    label: BNB Chain }

The site exposes a tab strip per dimension and injects chain="base" into every PromQL selector when that tab is active. URLs are shareable: ?chain=base.

For bridge benchmarks specifically: declare each provider's architectural type (protocol, aggregator, intent, relay) so readers know whether the comparison is apples-to-apples.

3. Build the harness

The harness is a long-running data producer. Any language is acceptable. Go binaries are the norm because the existing harnesses are Go.

Contract:

  • Run continuously and expose /metrics over HTTPS on a stable port.
  • Use the metric and label names referenced by the spec's queries.
  • Read API keys from environment variables. Never commit them.
  • Do not bundle Prometheus, Grafana or Alertmanager. Those are shared.
  • Document inputs, regions and timeouts in harnesses/<slug>/README.md.
  • Add a small README and a .env.example for local runs.

Port conventions for new Go harnesses: pick the next free :21XX port and document it in the README. Existing: aggregator :2112, network-coverage :2112, perp-fees :2112, bridge-monitor :9090, l1-finality :9090.

4. Host it

Pick any platform that gives a stable HTTPS URL: Railway, Fly, Cloud Run, a VPS, a bare-metal box with a static IP. The maintainers do not care, as long as the /metrics URL stays up.

5. Wire the Prometheus scrape

Append one job to infrastructure/prometheus/prometheus.yml:

- job_name: <slug>
  metrics_path: /metrics
  scheme: https
  static_configs:
    - targets:
        - your-harness.example.com
      labels:
        benchmark: <slug>
        host: <you>   # alice | acme-rpc | mobula ...

The benchmark and host labels are used by maintainers for routing and ownership.

6. Validate locally and open the PR

pnpm install
pnpm validate                   # schema-lint every spec
pnpm spec:dry-run <slug>        # query Prometheus, print resolved values
pnpm dev                        # render the page locally
pnpm build                      # production build

Open the PR. CI runs validate + typecheck + build. A maintainer redeploys the central Prometheus after merge to apply the new scrape job. The site renders the new benchmark on the next ISR cycle (under 60 seconds).

Editorial conventions

These are strict. Reviewers will reject PRs that violate them.

  • No pre-determined winners. Specs do not declare a "best" provider. The leader is recomputed at render time from the lowest p50.
  • Tail before mean. Headlines use p50 and p99. The arithmetic mean is reported in the table but never used as a takeaway.
  • State the timeout. Failures are excluded from latency aggregates and counted toward success rate. Both numbers are reported.
  • Methodology first. A spec without a written methodology is rejected.
  • Apples to apples. When providers belong to different architectural categories (intent vs pool, aggregator vs protocol), state it in the methodology and tag each provider with the right type.
  • No em-dashes in prose. Use periods, commas or "and". Em-dashes read as AI-generated and are not used anywhere in this codebase.
  • No marketing adjectives. Words like "leading", "best", "fastest", "trusted", "powerful", "blazing", "revolutionary" do not appear in titles, subtitles or abstracts. Replace them with concrete numbers.

Common pitfalls

  • Mock fallback. Do not add fake numbers when Prometheus is unreachable. The site renders draft state with an "Awaiting first run" notice. This is intentional.
  • Unit drift. Decide between s and ms once and apply consistently. Most latency specs use ms storage with a unit: s display. The query should multiply by 1000 if the raw metric is in seconds.
  • Dimension injection. When a spec declares dimensions.chain, every PromQL selector gets a chain="<value>" injected at render time. Make sure your harness emits the chain label.
  • Sample size. Always populate queries.sample_size if the harness emits a count. Readers use it to judge statistical strength.
  • PR formatting. Commit messages are short and lowercase. Example: bridge-fee: add Across protocol with intent type tag. No emojis. No Claude-generated co-author lines.

References inside the repo

  • benchmarks/README.md — spec field reference and submission guide
  • harnesses/README.md — harness contract details
  • docs/architecture.md — data flow diagram
  • docs/walkthrough.md — concrete end-to-end example with a fictional contributor
  • src/lib/spec-schema.ts — Zod schema (single source of truth)
  • CONTRIBUTING.md — full submission flow

Tone for your responses

When helping the user, mirror the site's voice: technical, sober, factual. Never use em-dashes. Never invent numbers. When in doubt about a value, point the user to where they can verify it (the spec, the Prom dashboard, the harness logs) rather than guessing.