Datumline Agent Guard

السجل الرسمي الذكاء الاصطناعي والوكلاء

Checks an AI agent's 'done' against the files and URLs it claims. Missing = FALSE_DONE.

التثبيت

أضف هذا إلى إعدادات MCP في عميلك (Claude Desktop: claude_desktop_config.json، وCursor: ‏.cursor/mcp.json، ويستخدم VS Code وغيره الصيغة نفسها «mcpServers»).

PYPI package datumline-agent-guard
Claude Code
claude mcp add datumline-agent-guard -- uvx datumline-agent-guard==0.2.0
إعداد JSON (Claude Desktop وCursor وVS Code)
{
    "mcpServers": {
        "datumline-agent-guard": {
            "command": "uvx",
            "args": [
                "datumline-agent-guard==0.2.0"
            ]
        }
    }
}

التوثيق

مأخوذ من ملف README للمشروع على GitHub ويُحدَّث أسبوعيًا. تفتح الروابط على GitHub.

المحتويات
  1. datumline-agent-guard
  2. Install
  3. CLI
  4. Manifest
  5. Verdicts
  6. Library
  7. GitHub Action
  8. MCP server
  9. LangChain
  10. Related
  11. License

datumline-agent-guard

An independent verifier for AI agent work. An agent says a job is COMPLETED; agent-guard checks the artifacts it claims to have produced and returns a verdict. A completion claim with a missing artifact is reported as FALSE_DONE, not as a pass.

Standard library only, no dependencies. It imports nothing from the runtime it audits, so it can contradict that runtime.

Install

pip install datumline-agent-guard

CLI

agent-guard manifest.json          # human-readable receipt
agent-guard manifest.json --json   # machine-readable receipt

Exit code is 0 only on VERIFIED; every other verdict exits 1 (bad input exits 2), so it can gate CI or an agent loop.

Manifest

{
  "job": "WO-123",
  "claimed_status": "COMPLETED",
  "artifacts": [
    {"type": "file", "path": "out/report.md", "min_bytes": 200, "must_contain": ["## Findings"]},
    {"type": "json", "path": "out/feed.json", "required_keys": ["last_marked", "entries"]},
    {"type": "url",  "url": "https://example.com/feed.json", "status": 200, "must_contain": ["last_marked"]},
    {"type": "file", "path": "out/data.parquet", "sha256": "<hex>"}
  ]
}

Relative paths resolve against the current working directory.

Verdicts

VerdictMeaning
VERIFIEDevery artifact is present and passes every check
FAILEDan artifact is present but fails a check, or is absent without a completion claim
FALSE_DONEclaimed_status is COMPLETED / COMPLETE / DONE / VERIFIED and at least one artifact is absent
UNVERIFIABLEthe manifest asserts no artifacts; fail-closed, never green

Library

from datumline_agent_guard import verify, verify_file

receipt = verify({"claimed_status": "COMPLETED", "artifacts": [{"type": "file", "path": "out/report.md"}]})
if receipt["verdict"] != "VERIFIED":
    raise SystemExit(receipt["verdict"])

GitHub Action

Fail a workflow when an agent's "done" doesn't check out:

- uses: datumline/datumline-agent-guard@v0.2.0
  with:
    manifest: agent-output/manifest.json   # what the agent claims it produced
    # fail-on: false-done                  # only fail on FALSE_DONE (default: anything but VERIFIED)

The step installs this package from the action's own source (no network fetch), writes the receipt to the job summary, sets the verdict and receipt outputs, and exits non-zero unless the verdict is VERIFIED. It needs python3 3.9+ on the runner, which GitHub-hosted runners have.

MCP server

The same verifier as an MCP tool, verify_completion_claim, for Claude, ChatGPT, Copilot, Cursor or any MCP client. Standard library only, stdio transport.

{
  "mcpServers": {
    "agent-guard": { "command": "uvx", "args": ["datumline-agent-guard"] }
  }
}

Or pip install datumline-agent-guard and run datumline-agent-guard (alias agent-guard-mcp). The tool takes manifest (object) or manifest_path (string) and returns the receipt; anything other than "verdict": "VERIFIED" means not done. It reads the files and fetches the URLs the manifest names, and sends nothing anywhere else.

LangChain

pip install "datumline-agent-guard[langchain]"
from datumline_agent_guard.langchain_tool import AgentGuardTool

tool = AgentGuardTool()  # name: agent_guard_verify
tool.invoke({"manifest": {"claimed_status": "COMPLETED", "artifacts": [{"type": "file", "path": "out/report.md"}]}})
# -> JSON receipt; anything other than "verdict": "VERIFIED" means not done

Give it to an agent as a tool, or call it yourself before accepting the agent's "done". It also takes manifest_path instead of manifest. It passes LangChain's standard tool tests (langchain-tests). Requires Python 3.10+; the core package needs only 3.9 and has no dependencies.

The same verifier ships inside the free, MIT-licensed Receipted Operator Claude Code plugin, which adds a receipt ledger, truthful statuses and a hook that refuses unreceipted "done". Datumline also publishes paid method kits at datumlinehq.gumroad.com.

License

MIT

الأسئلة الشائعة

ما هو Datumline Agent Guard؟

Checks an AI agent's 'done' against the files and URLs it claims. Missing = FALSE_DONE.

كيف أثبّت Datumline Agent Guard؟

يعمل على جهازك. في Claude Code: claude mcp add datumline-agent-guard -- uvx datumline-agent-guard==0.2.0. وفي العملاء الآخرين، الصق إعداد JSON من هذه الصفحة في إعدادات MCP الخاصة بهم.

هل يحتاج Datumline Agent Guard إلى مفتاح API؟

لا يذكر إدراجه في السجل أي مفتاح أو سر إلزامي. قد تتطلب بعض الميزات حسابًا لدى الخدمة التي يتصل بها.

هل Datumline Agent Guard مفتوح المصدر؟

نعم. شيفرته متاحة على GitHub بترخيص MIT.

من يصون Datumline Agent Guard؟

ينشره datumline. يدرجه AI.tn لكنه لا يصونه ولا يوصي به.

من سجل MCP الرسمي. الإدراج ليس توصية: راجع شيفرة الخادم وصلاحياته قبل منحه الوصول إلى بياناتك.