io.github.Lakshmi-Chakradhar-Vijayarao/credence

MCPcommunity
v1.2.5io.github.Lakshmi-Chakradhar-VijayaraoUnknownUpdated 3mo agoGitHub

Epistemic guard for AI coding: tracks uncertain values and blocks writes until verified.

A model-agnostic inference-time layer that reads transformer hidden states to classify epistemic state before tokens are committed. LLMs cannot tell when they are hallucinating. A model generating a confident, fluent, wrong answer looks identical from the inside to a model generating a confident, fluent, correct answer. Every downstream system — agents, tools, citation engines, medical assistants…

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3mo agoLast update
Package
Authorio.github.Lakshmi-Chakradhar-Vijayarao
LicenseUnknown
Version1.2.5
Sourcemcp-registry
Trust Status
B
60/100Good
Listed in Forge index+10/10
Publisher identity verified+0/20
Publisher: run `forge publish` from the package repo to claim ownership
Ed25519 publish signature+0/5
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>" }
npm Trusted Publishing (Sigstore)+0/5
Publish from GitHub Actions with --provenance so the attestation binds this package to this repo
npm maintainer match+0/5
Earned once your identity is verified above and that login is an npm maintainer of this package
CVE scan · clean+30/30
Static analysis · clean+20/20
Paste into Claude Code, Cursor, or any AI assistant to fix all gaps
StatusCommunity-indexed
PublisherUnverified
SignatureUnsigned
Domain
Provenance
DependenciesNot audited
Tool surface
Security scan✓ Cleanv1.2.5 · 2mo 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

A model-agnostic inference-time layer that reads transformer hidden states to classify epistemic state before tokens are committed. LLMs cannot tell when they are hallucinating. A model generating a confident, fluent, wrong answer looks identical from the inside to a model generating a confident, fluent, correct answer. Every downstream system — agents, tools, citation engines, medical assistants — inherits this epistemic blindness. Transformer hidden states at late-middle layers encode a…

Keywords
mcp