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agent-security-manager

Agent skill for security-manager - invoke with $agent-security-manager

Install with Tessl CLI

npx tessl i github:ruvnet/claude-flow --skill agent-security-manager
What are skills?

40

1.54x

Does it follow best practices?

Evaluation82%

1.54x

Agent success when using this skill

Validation for skill structure

SKILL.md
Review
Evals

Evaluation results

100%

16%

Multi-Party Signing System for Financial Authorization

Threshold signature system

Criteria
Without context
With context

secp256k1 curve

100%

100%

Threshold enforcement

100%

100%

Lagrange interpolation

100%

100%

Partial signature verification

0%

100%

Insufficient valid partials guard

25%

100%

sha256 hash function

100%

100%

DKG ceremony phases

100%

100%

Threshold signature verification

100%

100%

Configurable t and n

100%

100%

Working demo output

100%

100%

Without context: $1.1997 · 4m 45s · 38 turns · 44 in / 19,051 out tokens

With context: $2.2896 · 7m 44s · 55 turns · 311 in / 30,646 out tokens

62%

14%

Distributed Consensus Security Monitor

Attack detection and prevention

Criteria
Without context
With context

Byzantine: contradictory messages

100%

100%

Byzantine: timing anomalies

100%

100%

Byzantine: collusion patterns

100%

100%

Reputation update after anomalies

100%

100%

Sybil: 4 verification methods

11%

77%

Sybil: requires 2 passing verifications

0%

0%

Eclipse: geographic entropy threshold

0%

33%

Eclipse: network entropy threshold

0%

0%

Eclipse: max 3 connections per source

0%

44%

DoS: four parallel strategies

20%

30%

Working test output

100%

100%

Without context: $0.7718 · 3m 17s · 26 turns · 34 in / 14,145 out tokens

With context: $0.9371 · 3m 15s · 27 turns · 34 in / 14,042 out tokens

85%

58%

Distributed Key Management System with Monitoring

Key management and MCP integration

Criteria
Without context
With context

DKG: 5-phase ceremony

50%

100%

Key rotation threshold formula

20%

100%

24-hour transition period

0%

100%

MCP memory_usage: consensus_security namespace

0%

100%

MCP memory_usage: 24-hour TTL

0%

100%

MCP metrics_collect: correct components

0%

0%

MCP neural_patterns: learn action

0%

50%

MCP neural_predict: security_threat_model

0%

100%

mcp_calls.json logged

100%

100%

Working demo output

100%

100%

Without context: $0.5396 · 2m 30s · 22 turns · 26 in / 9,952 out tokens

With context: $0.7544 · 2m 42s · 25 turns · 279 in / 10,575 out tokens

Evaluated
Agent
Claude Code
Model
Unknown

Table of Contents

Is this your skill?

If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.