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ADMIS-Policy-Packs MCP Server

admislabs/ADMIS-Policy-Packs

Score: 33.2 Rank #17203 Agent Framework
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ADMIS Policy Packs is a local, deterministic policy-as-code toolkit for AI agent authorization. It lets developers define and test how agent tool calls should be handled based on agent identity, originating user, delegated authority, action, resource, arguments, data classification, destination, environment, and operating context.

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Overview

admislabs/ADMIS-Policy-Packs is a Python agent tool licensed under MIT. ADMIS Policy Packs is a local, deterministic policy-as-code toolkit for AI agent authorization. It lets developers define and test how agent tool calls should be handled based on agent identity, originating user, delegated authority, action, resource, arguments, data classification, destination, environment, and operating context.

Ranked #17203 out of 24850 indexed tools.

Ecosystem

Python MIT

Score Breakdown

StarsFreshnessIssue HealthContributorsDependents
Stars 15% 1

1 stars → early stage

Freshness 25% 2mo ago

Last commit 2mo ago → moderate activity

Issue Health 25% 50%

No issues filed → no history to score

Contributors 10% 0

0 contributors → solo project

Dependents 25% 0

No dependents → no downstream usage

npm Downloads N/A
PyPI Downloads N/A
Forks 0
Description Detailed
License MIT

Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →

How to Improve

Freshness high impact

Last commit was 66 days ago — a recent commit would boost your freshness score

Contributors medium impact

Single-contributor projects carry bus-factor risk — welcoming contributors boosts confidence

Dependents medium impact

No downstream dependents detected yet — adoption by other projects is the strongest trust signal

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AgentRank score for admislabs/ADMIS-Policy-Packs
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