
Evidence Gate
io.github.Dailyaiagents由 GitHub 账号 Dailyaiagents 发布v0.1.1更新于 Nov 3, 2026
Local checks for artifacts, declared claim evidence, and citation containment.
概览
本地 MCP 服务器,用于检查 AI 生成成果:验证产物是否存在、审计声明的论断证据与字面引用,并汇总验证状态。
- 可以做什么
- 验证工作区根目录下所需产物是否存在
- 审计声明的论断证据并检查字面引用是否包含
- 汇总各项验证状态,给出限定范围的结论
- 将仅有 URL 的证据标记为未验证而非通过
- 以确定性方式在本地运行,不调用模型、不上传文件
- 适用场景
- 当助手产出交付物、引用或完成声明,而你想在发布前做一次可重复的本地检查,确认所列产物确实存在、引文确实出现时适用。它面向狭窄的机械性检查,而非判断论断是否真实。
- 运行要求
- 需要 Python 3.11 或更高版本以及 PyPI 包 dailyaiagents-evidence-gate,以本地 stdio 进程运行,并通过 --root 参数指定绝对工作区路径。无需账号、API 密钥或网络访问。
安装
在 SourceWeft 中
- 打开 控制台中的 Evidence Gate,将其添加到工作区。
- 为需要使用其工具的对话启用该服务。
Desktop only,通过 STDIO。 STDIO 服务会启动本地进程,因此需要 SourceWeft 桌面宿主。
其他 MCP 客户端
参照 仓库 中的启动说明。
README
Daily AI Agent Toolkit
Local, deterministic tools for checking AI-generated work before it is released.
The toolkit contains two Model Context Protocol (MCP) servers and six portable Agent Skills. They inspect retained artifacts, declared claim support, literal citations, completion contracts, blockers, and release receipts without calling a model, uploading files, or requiring a Daily AI Agents account.
Release status:
0.1.1patch release candidate. PyPI0.1.0is public; the patch corrects the case-sensitive MCP Registry ownership marker.
Why this exists
AI systems can produce convincing output without proving that required artifacts exist, cited text is present, or a completion contract was actually satisfied. These tools make those narrow checks repeatable and preserve uncertainty instead of silently upgrading it to success.
They deliberately do not determine broad truth, judge semantic entailment, approve a release, validate a live service, or establish legal or security compliance.
Included tools
Evidence Gate
verify_artifactaudit_claimsaudit_citationssummarize_verification
Release Gate
check_contractevaluate_completionformat_blockersbuild_release_receipt
Agent Skills
artifact-verifierclaim-truth-gatecompletion-contractcontract-checkerfail-loudverification-bench
Install and run
Python 3.11 or newer is required.
Until the packages are public, install from a clean checkout:
Both servers use MCP stdio transport. A representative client configuration is:
See client configuration for the supported transport boundary.
Reproduce the proof
Run the complete local gate:
The release candidate includes:
- unit tests for both servers;
- deterministic self-tests for all six skills;
- 20 declared-outcome examples spanning all eight MCP tools;
- rooted-path and symlink-escape protections;
- clean-wheel installation and stdio tool-discovery checks;
- package-specific checksums, SBOMs, and build provenance.
See the examples, technical report, receipt schemas, release and recovery process, and local verification record. A passing local check proves only the condition and scope named in its receipt.
Architecture and security boundary
Live repository controls and current fail-closed publication gates are recorded in Repository controls.
The servers do not use network access, telemetry, model inference, arbitrary shell execution, or hosted Daily AI Agents infrastructure. Inputs are treated as data rather than shell fragments. URL-only evidence remains UNVERIFIED, and literal citation containment is not semantic support.
Read SECURITY.md and the threat model before using the toolkit on sensitive work.
Project leadership
The toolkit was conceived and led by Cooper Reed, founder of Daily AI Agents LLC, with implementation, testing, release engineering, and documentation developed as a public engineering project. Public claims about the toolkit should link to reproducible checks or retained release evidence in this repository.
Contributing and support
Apache-2.0 licensed.
来源:README.md,提交 a64c0b8
工具
0版本历史
1- v0.1.1最新Sep 16, 2026
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