Datumline Agent Guard

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

AI & MLPythonv0.2.0

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.

Related

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

Installation

Source-derived launch command. Check the maintainer’s required arguments and credentials before running:

bash
uvx datumline-agent-guard

Set up in your AI client

Merge this template into ~/Library/Application Support/Claude/claude_desktop_config.json. Keep existing servers. Add any arguments, credentials, and permissions required by the maintainer; this template has not been install-tested.

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

Restart Claude Desktop completely for changes to take effect. Confirm the server appears connected in the client’s tool list, then try a read-only example from its documentation.

Claude Desktop setup reference

Package

datumline-agent-guardpypi

Compatible MCP Clients

Datumline Agent Guard works with any MCP-compatible client. Copy the config snippet from the Configuration section above and add it to the file shown for your client, then restart the application.

  • Claude Desktop~/Library/Application Support/Claude/claude_desktop_config.jsonRestart Claude Desktop completely for changes to take effect.
  • Cursor~/.cursor/mcp.jsonRestart Cursor for changes to take effect.
  • VS Code.vscode/mcp.jsonReload VS Code window for changes to take effect.
  • Windsurf~/.codeium/windsurf/mcp_config.jsonRestart Windsurf for changes to take effect.
  • Claude Code.mcp.jsonSave at the project root, then start Claude Code in that project and review the MCP server approval prompt. Keep real credentials out of shared files.

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