Datumline Agent Guard
Checks an AI agent's 'done' against the files and URLs it claims. Missing = FALSE_DONE.
Installation
Ajoutez ceci à la configuration MCP de votre client (Claude Desktop : claude_desktop_config.json ; Cursor : .cursor/mcp.json ; VS Code et les autres utilisent la même forme « mcpServers »).
datumline-agent-guardclaude mcp add datumline-agent-guard -- uvx datumline-agent-guard==0.2.0
{
"mcpServers": {
"datumline-agent-guard": {
"command": "uvx",
"args": [
"datumline-agent-guard==0.2.0"
]
}
}
}
Documentation
Tirée du README du projet sur GitHub, actualisée chaque semaine. Les liens ouvrent GitHub.
Sommaire
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
| Verdict | Meaning |
|---|---|
VERIFIED | every artifact is present and passes every check |
FAILED | an artifact is present but fails a check, or is absent without a completion claim |
FALSE_DONE | claimed_status is COMPLETED / COMPLETE / DONE / VERIFIED and at least one artifact is absent |
UNVERIFIABLE | the 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
Questions fréquentes
Qu'est-ce que Datumline Agent Guard ?
Checks an AI agent's 'done' against the files and URLs it claims. Missing = FALSE_DONE.
Comment installer Datumline Agent Guard ?
Il s'exécute sur votre machine. Dans Claude Code : claude mcp add datumline-agent-guard -- uvx datumline-agent-guard==0.2.0. Pour les autres clients, collez la configuration JSON de cette page dans leurs réglages MCP.
Faut-il une clé API pour Datumline Agent Guard ?
Son entrée au registre n'indique aucune clé ni secret obligatoire. Certaines fonctions peuvent tout de même demander un compte auprès du service auquel il se connecte.
Datumline Agent Guard est-il open source ?
Oui. Son code est sur GitHub sous licence MIT.
Qui maintient Datumline Agent Guard ?
Il est publié par datumline. AI.tn le référence sans le maintenir ni le recommander.
Issu du registre MCP officiel. Être listé n'est pas une recommandation : vérifiez le code et les permissions d'un serveur avant de lui donner accès à vos données.