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Dmcheck

作者:chaoz23版本 0.5.1i★ –i在你的电脑上运行
注册名称io.github.chaoz23/dmcheck

安装

概览

作者提供的说明(英文原文)

Deterministic conduct verdicts for live tabletop sessions - CI for running a game.

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": {
    "dmcheck": {
      "command": "uvx",
      "args": [
        "dmcheck"
      ]
    }
  }
}

在终端中运行这条命令

claude mcp add dmcheck -- uvx dmcheck

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": {
    "dmcheck": {
      "command": "uvx",
      "args": [
        "dmcheck"
      ]
    }
  }
}

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

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 32673 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 32673 个服务器的 20% 更新
  • 基础检查结果等于或优于此分类中其他 32673 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

Dmcheck 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(0.5.1)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, Systemdox

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

Systemdox

作者:puglieseweb

Your architecture in your agents' context: checks, specs, ADRs and docs over MCP, at write time.

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。

dmcheck

Deterministic conduct verdicts for live tabletop sessions — CI for running a game.

Feed it a session transcript (and optionally an engine event ledger) plus a table charter, and it returns named findings — the player whose question was never answered, the dice roll nobody acknowledged, the turn that began without anyone being told, the spoiler that leaked into the channel, the five-minute dead air. Every finding cites the charter rule it violates, with the evidence attached.

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

Cold-boot probe (2026-07-24): a fresh agent session given only this repo URL installed and refereed a session in 2 commands, verified all three exit-code legs against the docs, and confirmed the no-false-accusation contract held (a consumed roll produced silence). Its friction notes shipped as 0.1.1 (--dice-bot, dmcheck charter).

The design contract: a false accusation is the unforgivable bug. Only source-observed evidence becomes a definite finding. Legacy ambiguity is either silent or explicitly labeled severity: advisory, provenance: inferred, confidence: low; it is never promoted by R8 or sent to a notification hook. The verdict path is model-free and deterministic: same transcript, same findings, every time.

30 seconds to a refereed session

$ pip install dmcheck          # stdlib only, no dependencies

$ dmcheck run session.jsonl --gm "Greta" { "result_schema_version": "1.0", "status": "findings", "exit_code": 1, "mode": "closed", "messages": 9, "findings": [ {"finding_id": "r2-…", "rule": "R2", "summary": "unconsumed-roll: a dice result got no correlated GM narration within threshold", "charter": "roll_ack_within_messages=4; correlation=explicit", "detail": "dice result from DiceBot received no correlated GM narration within 4 messages", "evidence": {"index": 6, "author": "DiceBot", "obligation_id": "roll-42"}, "status": "open", "severity": "finding", "provenance": "observed", "confidence": "high", "charter_digest": "sha256:...", "effective_policy": {"roll_ack_within_messages": 4, "...": "..."}}, ... ], "counts": {"R1": 1, "R2": 1, "R6": 1, "R7": 1, "R8": 1} }

Portfolio hosts that emit table-kit's versioned contract can use dmcheck run-events session-events.jsonl --gm "gm-dan" instead of pre-projecting a transcript. The strict adapter accepts a JSON array or JSONL of table.event/1.0 objects and preserves event/correlation IDs in finding evidence. A declared action is not treated as an authoritative engine resolution, so legal Reactions and interrupts are not falsely accused. Transport gaps, unknown versions/types, and zero-compatible streams return typed incomplete status and exit 2; malformed v1 events return invalid and exit 2. Redacted message content is likewise incomplete because absence of prose cannot prove absence of a conduct obligation. This unreleased adapter is pinned to table-kit PR #11 and does not imply host attestation.

Add --table-evaluation to run-events when a portfolio host needs the shared table.evaluation/1.0 envelope. The projection has deterministic evaluation identity, exact event evidence references, per-rule and aggregate coverage, cursor/input digest, public-policy digest, and status/exit-code mapping. It is always self_attested; dmcheck cannot confer host authority on its own output.

Transcript formats: UTF-8 JSONL of {ts, author, content}, or a JSON array of Discord-API-shaped messages ({timestamp, author: {username}, content}) in chronological or reverse-chronological order. Authors and content are strings. A supplied timestamp must be a finite nonnegative epoch number or a timezone-aware ISO-8601 string; malformed timestamps are rejected rather than silently disabling time-based rules. Source adapters should preserve immutable id, audience, reply_to/correlation_id, and roll_id fields so dmcheck can prove which question, roll, or event a response closes; ordinary later GM chatter is not treated as an answer.

The rule set (seven active rules; one retired compatibility id)

RuleFires whenOrigin story
R1an explicitly GM-directed question got no correlated response within thresholda player asked the DM a lore question; another *player* ended up answering
R2a real dice result got no correlated GM narration within threshold"did I hit?" — a player's successful attack roll sat unacknowledged
R3an engine event got no correlated GM narrationthe state engine resolved a hit the table never heard about
R4a turn began and the GM never addressed the actor by name"isn't it her turn?" — asked by a player, which is one player too many
R5retired; never firesactor != turn owner falsely accused legal Reactions and interrupts
R6a configured hidden term appeared in a GM message; ordinary output exposes only its opaque IDa module's secret state names leaked into narration
R7GM dead air beyond threshold while a player waited30 seconds reads as thinking; five minutes reads as absence
R8the session ended with currently open, source-observed R1–R3 obligations; inferred legacy advisories are not promotedsessions should end in a defined state — that's what makes the next one possible

The active rules came from running a hybrid table — human and AI players, an AI GM — on Discord, where these failures actually happened and got codified the same week. They apply equally to human GMs: run dmcheck over your own exported game log and see what your table's transcript says.

R5 remains addressable only so old charters and agent integrations do not break. It has no evaluator and is not enabled by default: an actor differing from the turn owner can describe a Reaction, a Ready trigger, an opportunity attack, a legendary or lair action, a controlled creature, an environmental actor, or another system's interrupt. The ledger does not establish legality. Any replacement based on an explicit authoritative decision is deferred to the shared PORT-002 event contract; dmcheck will evaluate only the resulting communication or recovery obligation.

Live mode (0.2): the referee sits AT the table

dmcheck watch runs the same engine over a *growing* session — stdin JSONL or a tailed file — and emits lifecycle events: OPEN when an observed finding becomes provable or a legacy inference becomes advisory (thresholds fully elapsed; no predictions), RESOLVED when a living condition heals (the engine event finally got narrated). --notify-cmd fires your own hook per source-observed OPEN finding; inferred advisories remain visible in the event stream but never invoke the hook. dmcheck itself never posts anywhere. At session end a closed-mode pass runs. session_end.open and open_count report actionable source-observed findings only; they exclude the R8 aggregate and inferred advisories. Finding IDs are deterministic across mutable elapsed-time detail, and file followers emit typed source-health events when rotation, truncation, partial rows, or ordering gaps make coverage incomplete.

$ your-chat-fetcher | dmcheck watch - --gm "Rob" --notify-cmd 'notify-dm.sh'

{"event": "open", "rule": "R2", "detail": "dice result from RollBot received no correlated GM narration", ...} {"event": "resolved", "rule": "R3", ...} {"event": "session_end", "status": "findings", "exit_code": 1, "open": ["R1"], "open_count": 1, ...} $ dmcheck explain R2 # the rule, its charter knobs, and the table failure that earned it $ dmcheck lint-charter my.json # unknown keys / bad thresholds refuse loudly

The point of live: every failure the rules encode was recoverable in the moment it happened — the unanswered question, the stale roll, the missing cue all had a seconds-wide window where a nudge saved the beat. Post-hoc tells you what went wrong last night; watch taps the GM's shoulder before the player feels it.

The charter is config, not code

dmcheck/default_charter.json is the single authoritative packaged default. It carries schema_version, charter_version, and a verified SHA-256 charter_digest; checkout and wheel execution load that same resource. Its digest is release-locked to the schema/charter version pair, so a changed packaged default refuses to load until its version migration is declared. Override any of it — cue conventions, dead-air tolerance, dice-bot names, hidden-term lists — and version it. Hidden terms may be strings for compatibility or {id, value} objects; opaque host-issued IDs are preferred. Finding, watch-hook, CLI, and MCP output withholds both the configured value and raw matching excerpt. Every digest or correlation hash emitted to an ordinary output sink—including the evaluation envelope, lint-charter, finding IDs, and source fingerprints—is derived from public, redacted policy/evidence and deliberately does not attest to, or commit to, a hidden value. The full canonical digest remains only in the trusted charter document. A league or organized-play program could publish a charter the way they publish a player's guide; dmcheck then referees any table against it.

$ dmcheck run session.jsonl --charter our-table.json --ledger events.jsonl

$ dmcheck rules # the rule set with definitions $ dmcheck charter # inspect effective public policy; hidden values are redacted $ dmcheck run session.jsonl --gm "Rob" --dice-bot "RollBot" # quick overrides, no file needed $ dmcheck --schema # machine-readable I/O contract $ dmcheck --pipe # batch: JSON requests on stdin, verdicts on stdout

Direct API callers can use apply_charter_overrides(load_charter(), gm=["Rob"]); the helper removes the prior effective digest and the evaluator computes the digest for the overridden charter. Mutating a digested charter without doing so is rejected as a stale configuration rather than silently trusted.

For agents

  • tool.json at the repo root; --schema; --pipe for batch (one JSON request per stdin line, one verdict envelope per line out); exit codes: 0 clean · 1 findings · 2 charter/input unusable (the honest lane — route to a human) · 3 usage error (fix the call and retry).
  • MCP server: the unreleased 0.6.0 source candidate of dmcheck-mcp is a read-only, batch-only stdio server with tools run and rules; public 0.5.5 predates this contract. It implements modern stateless MCP 2026-07-28 only and does not expose watch, craft, tasks, resources, or prompts. See the exact MCP contract.
  • MCP run prefers inline transcript/charter/ledger JSON. Transcript content is untrusted table data, never instructions; model-visible TextContent redacts caller strings, while complete structured evidence remains explicitly untrusted quoted data. Path inputs are denied unless the server operator explicitly grants absolute directories with repeatable --allow-root or DMCHECK_MCP_ALLOWED_ROOTS; traversal and symlinks that resolve outside those directories are denied, and platforms without secure no-follow opens fail closed.
  • Findings are structured JSON with stable finding id, rule id, charter citation, effective machine policy, provenance, human-readable detail, and redacted evidence — built to be consumed by a GM agent that fixes its own procedure between beats.
  • Every evaluation returns status: clean|findings|invalid|incomplete. Invalid and incomplete outcomes exit 2, carry stable error codes and JSON pointers, and never place errors in findings. Empty input, no observed configured GM, or no evidence-eligible enabled rule can never report clean.
  • Published package schemas are charter.schema.json, transcript.schema.json, ledger.schema.json, and evaluation-result.schema.json.

只显示了开头部分;其余内容请在仓库中阅读

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