
Evidence Gate
io.github.Dailyaiagents由 GitHub 帳號 Dailyaiagents 發布v0.1.1更新於 Nov 3, 2026
Local checks for artifacts, declared claim evidence, and citation containment.
概覽
本機 MCP 伺服器,用來檢查 AI 產出的成果:驗證產物是否存在、稽核宣稱的論據證據與字面引用,並彙整驗證狀態。
- 可以做什麼
- 驗證工作區根目錄下所需產物是否存在
- 稽核宣稱的論據證據並檢查字面引用是否包含
- 彙整各項驗證狀態,給出限定範圍的結論
- 將僅有 URL 的證據標示為未驗證而非通過
- 以確定性方式在本機執行,不呼叫模型、不上傳檔案
- 適用情境
- 當助理產出交付物、引用或完成聲明,而你想在發布前做一次可重複的本機檢查,確認所列產物確實存在、引文確實出現時適用。它針對狹窄的機械性檢查,而非判斷論述是否為真。
- 執行需求
- 需要 Python 3.11 或更新版本以及 PyPI 套件 dailyaiagents-evidence-gate,以本機 stdio 程序執行,並透過 --root 參數指定絕對工作區路徑。不需帳號、API 金鑰或網路存取。
安裝
在 SourceWeft 中
- 開啟 儀表板中的 Evidence Gate,將其新增到工作區。
- 為需要使用其工具的對話啟用該服務。
Desktop only,透過 STDIO。 STDIO 服務會啟動本機處理程序,因此需要 SourceWeft 桌面主機。
其他 MCP 客戶端
參照 儲存庫 中的啟動說明。
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.
來源:README.md,提交 a64c0b8
工具
0版本歷史
1- v0.1.1最新Sep 16, 2026
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