io.github.dingdawg/dingdawg-loop

MCPcommunity
v2.0.8io.github.dingdawgUnknownUpdated 1mo agonpmGitHub

Safe scheduled AI agents with governance gates. Verified, receipted, fail-closed.

DingDawg Loop Protocol (DDLP) — a framework for safe, scheduled, proactive AI agents with built-in governance gates. Agents declare what they WILL do, pass a governance check, and only then execute. If governance denies or errors, the loop skips that cycle. Fail-closed by default — no silent autonomous action. AI agents running on a schedule without governance is a liability. An agent that sends…

Automatically indexed from public sources. Not yet verified by the developer on Forge.Claim this listing →
1mo agoLast update
Package
Authorio.github.dingdawg
LicenseUnknown
Version2.0.8
Sourcemcp-registry
npmdingdawg-loop
GitHubdingdawg/loop-protocol
Trust Status
B
60/100Good
✓Listed in Forge index+10/10
—Publisher identity verified+0/25
→ Publisher: run `forge publish` from the package repo to claim ownership
—Ed25519 publish signature+0/10
→ Included automatically when the publisher runs `forge publish`
—Domain verification+0/5
→ Publisher: host /.well-known/forge.json on the package homepage with { "publisher": "<github-login>" }
✓CVE scan · clean+30/30
✓Static analysis · clean+20/20
—npm provenance (Sigstore)+0/5
→ Publish from GitHub Actions with the --provenance flag
Paste into Claude Code, Cursor, or any AI assistant to fix all gaps
StatusCommunity-indexed
PublisherUnverified
SignatureUnsigned
Domain—
Provenance—
Dependencies✓ 60 resolved+ · none vulnerable
Tool surface6 tools · 1 privileged
Security scan✓ Cleanv2.0.8 · 20d ago
EvalsNone
IndexedJun 13, 2026

Verification confirms publisher identity (repo ownership), not code safety. The security scan covers known CVEs and suspicious install scripts — it cannot prove the absence of malicious code.

About

DingDawg Loop Protocol (DDLP) — a framework for safe, scheduled, proactive AI agents with built-in governance gates. Agents declare what they WILL do, pass a governance check, and only then execute. If governance denies or errors, the loop skips that cycle. Fail-closed by default — no silent autonomous action. AI agents running on a schedule without governance is a liability. An agent that sends emails every hour, syncs data nightly, or processes payments weekly needs a gate between "I want to…

Keywords
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