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The semantic-intent-scanner MCP server was last committed 20d ago and has 0 contributors. Issue health: 50% of issues resolved. AgentRank freshness score reflects real-time maintenance activity.

semantic-intent-scanner MCP Server

Name: Ocherokee/semantic-intent-scanner
Rating: 2.9 (1 reviews)
Author: Ocherokee

Ocherokee/semantic-intent-scanner

Score: 48.3 Rank #18439 MCP Server

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Semantic intent evaluation for agentic systems. Detects instruction-layer risks including authority laundering, consent bypass, concealed execution, and semantic attack patterns in SKILL.md and agent configuration files.

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Overview

Ocherokee/semantic-intent-scanner is a Python tool licensed under AGPL-3.0. Semantic intent evaluation for agentic systems. Detects instruction-layer risks including authority laundering, consent bypass, concealed execution, and semantic attack patterns in SKILL.md and agent configuration files.

Ranked #18439 out of 24840 indexed tools.

Ecosystem

Python AGPL-3.0

Score Breakdown

Stars 15% 1

1 stars → early stage

Freshness 25% 20d ago

Last commit 20d ago → recently updated

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 AGPL-3.0

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

How to Improve

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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Markdown

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HTML

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HTML

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Details

Stars: 1
Forks: 0
Open Issues: 0
Closed Issues: 0
Contributors: 0
Dependents: —
Language: Python
License: AGPL-3.0
Last Commit: 20d ago

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topic:mcp

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