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Srdcheck

作者:chaoz23版本 0.8.0i★ –i在你的电脑上运行
注册名称io.github.chaoz23/srdcheck

安装

概览

作者提供的说明(英文原文)

Scoped deterministic SRD 5.2.1 rules checks for agents — applied rules cited, boundaries explicit.

PopNx MCP 的三大支柱

这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。

它能帮你做什么

我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。

  • 连接方式: 在你的电脑上运行
  • 传输方式: stdio
  • 分类: 其他

安装

选择你使用的 AI 应用,然后复制设置。

安装之前

  • 基础检查:1 项中通过 1 项
  • 在你的电脑上运行,拥有你的用户账户的权限(文件、网络、应用)。
  • 注册中心没有列出需要填写的密钥。

你需要

  • PyPI已安装 Python 的 uv(用于 uvx 命令)

你用的是哪个应用?

在上方选择你的应用。我们会记住它,下次按钮会显示“安装到 …”。

打开 Claude Desktop → Settings → Developer → Edit Config,把下面的内容粘贴到 claude_desktop_config.json

{
  "mcpServers": {
    "srdcheck": {
      "command": "uvx",
      "args": [
        "srdcheck"
      ]
    }
  }
}

在终端中运行这条命令

claude mcp add srdcheck -- uvx srdcheck

在 Cursor 中打开

或者自己复制设置

粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json

{
  "mcpServers": {
    "srdcheck": {
      "command": "uvx",
      "args": [
        "srdcheck"
      ]
    }
  }
}

浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。

在 VS Code 中打开

或者自己复制设置

粘贴到项目中的 .vscode/mcp.json

{
  "servers": {
    "srdcheck": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "srdcheck"
      ]
    }
  }
}

浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。

这个服务器在你的电脑上运行,而 ChatGPT 只能连接互联网上的服务器。请选择其他应用。

你的选择通过 Cookie 保存在这台设备上,无需账户。

这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。

它能做什么

它在你的电脑上运行;安装后,工具列表会显示在你的 AI 应用中。

基础检查i

我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月7日

  • ✓ 通过

    作者与仓库一致

    注册名称已通过 GitHub 账户 chaoz23 验证,该账户拥有此仓库

  • … 尚未检查

    仍在维护

    我们还没有从 GitHub 读取这个仓库

  • … 尚未检查

    有许可证

    我们还没有从 GitHub 读取这个仓库

  • – 不适用

    端点有响应

    它在你的电脑上运行,没有互联网端点

  • – 不适用

    使用 OAuth 登录

    在你的电脑上运行,改用本地设置

  • … 尚未检查

    工具描述中没有隐藏指令

    它在你的电脑上运行;我们只能读取互联网端点的工具列表

与“其他”中的其他服务器比较i

  • 星标数多于此分类中其他 32655 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 32655 个服务器的 21% 更新
  • 基础检查结果等于或优于此分类中其他 32655 个服务器的 100%

与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。

常见问题

Srdcheck 安全吗?

它在 1 项适用的基础检查中通过了 1 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。

它需要哪些密钥或代码?

注册中心没有列出必需的密钥,不过有些服务器会在首次使用时要求你登录。

它在我的电脑上运行还是在云端?

它在你的电脑上运行。你的 AI 应用会在需要时启动它,数据不会经过作者的服务器(除非它自己调用在线服务)。

它还在维护吗?

GitHub 仓库最后更新于–,最新版本(0.8.0)于3个月前进入注册中心。

哪些应用可以使用它?

支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。你的电脑上还需要有 Python (uv)。

有什么可以替代它?

同一分类中有:Spec Driven Development, Remote Desktop Commander, SuperCollider

替代选择

同一分类中其他作者的服务器,按星标数排序。

如何看卡片:★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i

Spec Driven Development

作者:formulahendry

MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.

在你的电脑上运行★ 440MIT14个月前更新
安装

Remote Desktop Commander

作者:desktop-commander

Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.

在云端运行★ 211前天更新
安装

SuperCollider

作者:Tok

Make sound with SuperCollider: synths, drums, chords, melodies and soundscapes over OSC.

在你的电脑上运行今天更新
安装

作者的 README

打开 README

按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。

srdcheck

A shared rules rail for agents: named, cited checks with explicit boundaries, so every caller can use the same deterministic result without mistaking a partial check for global legality.

Machine verdicts over specific rules of the System Reference Document 5.2.1: cited when a rule is applied, reproducible, offline, and honest enough to refuse questions outside the shipped scope. The rules lawyer for agents — including an agent acting as the authorized DM.

Agents start here → [SKILL.md](SKILL.md) — the front door: when to call this, worked examples, MUST/MUST NOTs. Family contract: FAMILY.md.

Status: v0.9.0 alpha — young but real, building in the open. The kill tests that shaped the product — including the one that killed half our original idea — are in eval/RESULTS-phase0.md; the with/without-rails demo is in demo/mage-hand/; the truth scorecard below is generated by CI.

Runtime and operating-system guarantees are defined in the support matrix: Python 3.10–3.13, a full Ubuntu suite, and explicit installed-artifact smoke contracts on Windows and macOS.

Why this exists

A game increasingly runs not as one model but as *several agents sharing one evolving state* — a GM, player agents, a rules referee, tool-callers. The moment more than one mind adjudicates, the binding problem stops being any single agent's knowledge or attention budget and becomes consistency: five capable models will each read the SRD and rule on grapple, concentration, or a death save a little differently, and the shared game state quietly desyncs. No amount of individual intelligence guarantees they agree with *each other*, and every re-derivation is another chance to drift. The fix is a deterministic rail they all call — the same atoms, the same citations, the same verdict every time — so every applied-rule result carries one provenance any agent (or a human) can audit. Table rulings retain separate ruling lineage. That is where srdcheck stops being a convenience and becomes load-bearing.

Even at a table of one, the rail earns its place. A model running a game is a brilliant improviser with a finite attention budget: every mechanical micro-check it handles in-context — *is this legal, is that slot spent, does the reaction refresh this round* — spends tokens and attention that belong to the only work that needs a mind, the story. And the checks a model *can* answer, it cannot prove, cannot reproduce, and — as our own benchmark showed — will not refuse when the question is outside the rules' jurisdiction.

We tested this before building. Frontier models answered our SRD rules questions nearly perfectly — and confidently ruled on house rules, GM discretion, and content that doesn't exist in the SRD, where the only correct answer is "not my call." Small local models got 19–30% wrong with zero refusals. So srdcheck does not compete with what models know. It is a rail: structured facts in, a deterministic scoped result out, with citations whenever it applies a rule — and the *same* rail for every agent at the table.

What it is

srdcheck answers named, bounded questions such as: *does this proposal pass the modeled action-economy check?* and *which modeled budget option kinds remain?* See the generated capability and claim map for the canonical checked and unchecked scope of every tool.

  • Verdicts, not vibes. Exit code 0 = passes the checked scope, 1 = conflicts with the checked scope, 2 = cannot adjudicate. Every applied rule carries its SRD citation; boundary refusals do not invent citations.
  • Scope and provenance travel with the verdict. Verdict schema 4.0 keeps coverage_level, checked_scope, unchecked_scope, and assumptions on every result and separately reports asserted/consumed/derived/missing facts, the advisory rule_result, any scoped DM table_decision, and explicit state_mutation. Every legal explanation says it is legal only within that checked scope.
  • Judge, never simulate. No dice, no narration, no owned game state. State comes in with the query; a verdict goes out. The kernel is a stateless pure function — embeddable in anyone's DM product, VTT, or agent.
  • State commits fail closed. event.apply emits an idempotent transition proposal bound to the exact evaluated state; transition.commit rejects a stale/out-of-order proposal and returns the same semantic receipt on retry. The agent-DM or host still performs the atomic state write. See safe state transitions.
  • Agent-DM rulings persist without hidden state. Supply a portable table-policy manifest and request/encounter/session/campaign IDs to existing query tools. Matching rulings apply automatically, remain distinct from the SRD result, and carry explicit table-authority lineage. See table policies.
  • Deterministic and fast. No LLM call anywhere in the verdict path. Runs local and offline.
  • Observable without recording the table. Opt-in metadata-only lifecycle events carry request/verdict IDs, versions, refusal class, and timing on stderr or a caller sink. Raw prompts, state, rulings, citations, and error messages are excluded by contract; SRDCheck persists nothing.
  • For agents first. MCP + CLI, --pipe, --schema, tool.json at the repo root. Humans get plain-English *why* in the same payload; agents treat that prose as explanatory, not contractual.
  • Rulesets are adapters. The kernel knows no game; all rule content loads from adapter packages, each carrying its own provenance manifest — source document, hash, license, attribution — that every applied-rule result cites through. The SRD 5.2.1 adapter ships in this repo as the reference implementation. Anyone can build an adapter for another ruleset — a community, a private table, or a publisher shipping a first-party adapter for their own IP — and their content never passes through this project. The adapter catalog points; it never hosts.

See docs/product-truths.md for the invariants this project holds itself to, docs/anatomy-of-a-turn.md for executable-today versus target examples, and docs/compatibility-policy.md for the N/N-1 machine contract and correction policy.

Maintainer and acquisition diligence lives in the takeover inventory, with linked architecture, release, incident-response, and support runbooks. Unchecked takeover items are explicit gaps, not implied readiness.

Show your work. A big context window can *read* the SRD; srdcheck's value is the layer above — a consistent, cited set of rule atoms and a shared schema that several agents can rely on without each re-deriving the rules into context and drifting apart. docs/atom-concordance.md is the audit trail for that layer: every rule the engine applies, mapped to the exact SRD text it's grounded in (forward and inverse), generated and CI-checked-fresh, with a verbatim-citation oracle proving each quote really is on its cited page. A machine-readable atom-concordance.json is the slim index an agent can load to know what the rail covers and where it came from.

What srdcheck does not check yet

Honesty is the product (truth T8), so the boundaries are stated, not implied. The current SRD adapter covers combat-turn fundamentals; it does not yet check:

  • Feature prerequisites. turn.plan judges the turn's *action economy* — that you spent at most one action, one bonus action, one reaction, one spell slot. It does not verify that a feature actually grants a given action. A lone two-weapon-fighting offhand attack is "action-economy legal" even though the 2024 rules require the Attack action first; that prerequisite lives in the character's features, which this version doesn't model. The success message says so explicitly.
  • Per-spell effects. Damage/HP, death saves, and saving throws are now modeled (the reducer folds damage/heal/death-save; save.check and concentration.check resolve caller-rolled saves), but *what a given spell does* — Fireball's 8d6, Hold Person's paralysis on a failed save — is the long-tail swamp and stays refused. srdcheck computes the save; it does not roll the dice or apply the spell's bespoke effect.
  • Condition coverage is surface-specific. All 15 SRD conditions are registry-anchored and classified clause by clause, while each query claims only the effects it actually consumes: attack modifiers, modeled action economy and Speed, selected save/check effects, damage typing, immunity, and Reaction blocking through Incapacitated and its definitional embeds. The completeness oracle proves its named attack/turn surfaces; it does not imply that every condition clause is checked by every tool. Positional geometry, initiative order, and stealth/perception contests remain explicit boundaries.
  • Content outside the SRD 5.2.1 — anything not in the SRD returns exit 2 from jurisdiction; in adapter 0.2.1 the name registries cover spells, creatures, conditions, classes, subclasses, species, feats, and backgrounds (census-anchored against the source text in CI). Background coverage is jurisdiction-only: it recognizes the four backgrounds actually present in SRD 5.2.1 (Acolyte, Criminal, Sage, and Soldier) but does not yet expose their mechanics as structured facts.
  • Misspelled or unknown query fields refuse loudly (adapter 0.2.1): every query validates its params against the declared schema — an unrecognized field returns exit 2 naming the offender, never a silently-defaulted verdict. A drift oracle in CI keeps handlers and schemas from ever diverging again.
  • Facts are requested only while they can change the result. A granted Mage Hand use refuses with missing-fact until its relevant distance and, when it carries or manipulates an object, weight are supplied. A prohibition or an already-exceeded limit is decisive and does not trigger an irrelevant repair loop. A turn.plan move requires explicit feet; omission is never treated as a zero-foot move.

Nonsensical inputs (negative Speed, a 99th-level spell, exhaustion past 6) return exit 2 rather than a confident-looking answer. When in doubt, srdcheck refuses — a wrong verdict is the only unforgivable bug.

Try it now

$ pip install git+https://github.com/chaoz23/srdcheck

$ python -m srdcheck jurisdiction "Fireball" # exit 0 — known content $ python -m srdcheck jurisdiction "Hexblade" # exit 2 — not in the SRD, honestly refused $ python -m srdcheck query mage-hand.use '{"kind": "attack"}' { "verdict": "illegal", "exit_code": 1, "why": "The hand can't attack.", "citations": [{"section": "SRD 5.2.1 p.145 'Spells > Mage Hand'", "page": 145, "quote": "The hand can't attack"}], "rule_ids": ["mage-hand.cant-attack"], "adapter": "srd-5.2.1@0.2.1", "coverage_level": "rule-surface-complete", "checked_scope": ["listed uses and prohibitions", "10-pound limit", "30-foot range for the proposal"], "unchecked_scope": ["fine-manipulation ambiguity", "duration or range trigger tracking across events", "narrative consequences"], "assumptions": ["the supplied use kind describes the proposal", "supplied weight and distance facts are accurate when relevant to the result"] } $ python -m srdcheck query mage-hand.use '{"kind": "attack"}' --table-evaluation

deterministic table.evaluation/1.0; status=findings, authority=self_attested

$ python -m srdcheck query save.check '{"modifier":2,"dc":10,"d20_result":12,"save_ability":"dex","saver_conditions":[]}' \ --table-evaluation --table-context '{"se

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