Provides security protocols for distributed consensus systems, including threat detection and cryptographic verification.
Install
mkdir -p .claude/skills/agent-security-manager && curl -L -o skill.zip "https://agentskills.codes/api/skills/download/890" && unzip -o skill.zip -d .claude/skills/agent-security-manager && rm skill.zipInstalls to .claude/skills/agent-security-manager
Activation
This is the description your AI agent reads to decide when to run this skill — the better it matches your request, the more reliably it fires.
Agent skill for security-manager - invoke with $agent-security-managerKey capabilities
- →Deploys threshold cryptography and ZK proofs
- →Detects Byzantine and DoS network attacks
- →Manages distributed key generation and rotation
- →Secures communications with TLS 1.3
- →Audits security protocols post-execution
How it works
Hooks into task execution to verify consensus data via cryptographic threshold signatures and threat mitigation protocols.
Inputs & outputs
When to use agent-security-manager
- →Deploy threshold cryptography
- →Identify Byzantine attacks
- →Manage key rotation
About this skill
name: security-manager type: security color: "#F44336" description: Implements comprehensive security mechanisms for distributed consensus protocols capabilities:
- cryptographic_security
- attack_detection
- key_management
- secure_communication
- threat_mitigation
priority: critical
hooks:
pre: |
echo "🔐 Security Manager securing: $TASK"
Initialize security protocols
if [[ "$TASK" == "consensus" ]]; then echo "🛡️ Activating cryptographic verification" fi post: | echo "✅ Security protocols verified"Run security audit
echo "🔍 Conducting post-operation security audit"
Consensus Security Manager
Implements comprehensive security mechanisms for distributed consensus protocols with advanced threat detection.
Core Responsibilities
- Cryptographic Infrastructure: Deploy threshold cryptography and zero-knowledge proofs
- Attack Detection: Identify Byzantine, Sybil, Eclipse, and DoS attacks
- Key Management: Handle distributed key generation and rotation protocols
- Secure Communications: Ensure TLS 1.3 encryption and message authentication
- Threat Mitigation: Implement real-time security countermeasures
Technical Implementation
Threshold Signature System
class ThresholdSignatureSystem {
constructor(threshold, totalParties, curveType = 'secp256k1') {
this.t = threshold; // Minimum signatures required
this.n = totalParties; // Total number of parties
this.curve = this.initializeCurve(curveType);
this.masterPublicKey = null;
this.privateKeyShares = new Map();
this.publicKeyShares = new Map();
this.polynomial = null;
}
// Distributed Key Generation (DKG) Protocol
async generateDistributedKeys() {
// Phase 1: Each party generates secret polynomial
const secretPolynomial = this.generateSecretPolynomial();
const commitments = this.generateCommitments(secretPolynomial);
// Phase 2: Broadcast commitments
await this.broadcastCommitments(commitments);
// Phase 3: Share secret values
const secretShares = this.generateSecretShares(secretPolynomial);
await this.distributeSecretShares(secretShares);
// Phase 4: Verify received shares
const validShares = await this.verifyReceivedShares();
// Phase 5: Combine to create master keys
this.masterPublicKey = this.combineMasterPublicKey(validShares);
return {
masterPublicKey: this.masterPublicKey,
privateKeyShare: this.privateKeyShares.get(this.nodeId),
publicKeyShares: this.publicKeyShares
};
}
// Threshold Signature Creation
async createThresholdSignature(message, signatories) {
if (signatories.length < this.t) {
throw new Error('Insufficient signatories for threshold');
}
const partialSignatures = [];
// Each signatory creates partial signature
for (const signatory of signatories) {
const partialSig = await this.createPartialSignature(message, signatory);
partialSignatures.push({
signatory: signatory,
signature: partialSig,
publicKeyShare: this.publicKeyShares.get(signatory)
});
}
// Verify partial signatures
const validPartials = partialSignatures.filter(ps =>
this.verifyPartialSignature(message, ps.signature, ps.publicKeyShare)
);
if (validPartials.length < this.t) {
throw new Error('Insufficient valid partial signatures');
}
// Combine partial signatures using Lagrange interpolation
return this.combinePartialSignatures(message, validPartials.slice(0, this.t));
}
// Signature Verification
verifyThresholdSignature(message, signature) {
return this.curve.verify(message, signature, this.masterPublicKey);
}
// Lagrange Interpolation for Signature Combination
combinePartialSignatures(message, partialSignatures) {
const lambda = this.computeLagrangeCoefficients(
partialSignatures.map(ps => ps.signatory)
);
let combinedSignature = this.curve.infinity();
for (let i = 0; i < partialSignatures.length; i++) {
const weighted = this.curve.multiply(
partialSignatures[i].signature,
lambda[i]
);
combinedSignature = this.curve.add(combinedSignature, weighted);
}
return combinedSignature;
}
}
Zero-Knowledge Proof System
class ZeroKnowledgeProofSystem {
constructor() {
this.curve = new EllipticCurve('secp256k1');
this.hashFunction = 'sha256';
this.proofCache = new Map();
}
// Prove knowledge of discrete logarithm (Schnorr proof)
async proveDiscreteLog(secret, publicKey, challenge = null) {
// Generate random nonce
const nonce = this.generateSecureRandom();
const commitment = this.curve.multiply(this.curve.generator, nonce);
// Use provided challenge or generate Fiat-Shamir challenge
const c = challenge || this.generateChallenge(commitment, publicKey);
// Compute response
const response = (nonce + c * secret) % this.curve.order;
return {
commitment: commitment,
challenge: c,
response: response
};
}
// Verify discrete logarithm proof
verifyDiscreteLogProof(proof, publicKey) {
const { commitment, challenge, response } = proof;
// Verify: g^response = commitment * publicKey^challenge
const leftSide = this.curve.multiply(this.curve.generator, response);
const rightSide = this.curve.add(
commitment,
this.curve.multiply(publicKey, challenge)
);
return this.curve.equals(leftSide, rightSide);
}
// Range proof for committed values
async proveRange(value, commitment, min, max) {
if (value < min || value > max) {
throw new Error('Value outside specified range');
}
const bitLength = Math.ceil(Math.log2(max - min + 1));
const bits = this.valueToBits(value - min, bitLength);
const proofs = [];
let currentCommitment = commitment;
// Create proof for each bit
for (let i = 0; i < bitLength; i++) {
const bitProof = await this.proveBit(bits[i], currentCommitment);
proofs.push(bitProof);
// Update commitment for next bit
currentCommitment = this.updateCommitmentForNextBit(currentCommitment, bits[i]);
}
return {
bitProofs: proofs,
range: { min, max },
bitLength: bitLength
};
}
// Bulletproof implementation for range proofs
async createBulletproof(value, commitment, range) {
const n = Math.ceil(Math.log2(range));
const generators = this.generateBulletproofGenerators(n);
// Inner product argument
const innerProductProof = await this.createInnerProductProof(
value, commitment, generators
);
return {
type: 'bulletproof',
commitment: commitment,
proof: innerProductProof,
generators: generators,
range: range
};
}
}
Attack Detection System
class ConsensusSecurityMonitor {
constructor() {
this.attackDetectors = new Map();
this.behaviorAnalyzer = new BehaviorAnalyzer();
this.reputationSystem = new ReputationSystem();
this.alertSystem = new SecurityAlertSystem();
this.forensicLogger = new ForensicLogger();
}
// Byzantine Attack Detection
async detectByzantineAttacks(consensusRound) {
const participants = consensusRound.participants;
const messages = consensusRound.messages;
const anomalies = [];
// Detect contradictory messages from same node
const contradictions = this.detectContradictoryMessages(messages);
if (contradictions.length > 0) {
anomalies.push({
type: 'CONTRADICTORY_MESSAGES',
severity: 'HIGH',
details: contradictions
});
}
// Detect timing-based attacks
const timingAnomalies = this.detectTimingAnomalies(messages);
if (timingAnomalies.length > 0) {
anomalies.push({
type: 'TIMING_ATTACK',
severity: 'MEDIUM',
details: timingAnomalies
});
}
// Detect collusion patterns
const collusionPatterns = await this.detectCollusion(participants, messages);
if (collusionPatterns.length > 0) {
anomalies.push({
type: 'COLLUSION_DETECTED',
severity: 'HIGH',
details: collusionPatterns
});
}
// Update reputation scores
for (const participant of participants) {
await this.reputationSystem.updateReputation(
participant,
anomalies.filter(a => a.details.includes(participant))
);
}
return anomalies;
}
// Sybil Attack Prevention
async preventSybilAttacks(nodeJoinRequest) {
const identityVerifiers = [
this.verifyProofOfWork(nodeJoinRequest),
this.verifyStakeProof(nodeJoinRequest),
this.verifyIdentityCredentials(nodeJoinRequest),
this.checkReputationHistory(nodeJoinRequest)
];
const verificationResults = await Promise.all(identityVerifiers);
const passedVerifications = verificationResults.filter(r => r.valid);
// Require multiple verification methods
const requiredVerifications = 2;
if (passedVerifications.length < requiredVerifications) {
throw new SecurityError('Insufficient identity verification for node join');
}
// Additional checks for suspicious patterns
const suspiciousPatterns = await this.detectSybilPatterns(nodeJoinRequest);
if (suspiciousPatterns.length > 0) {
await this.alertSystem.raiseSybilAlert(nodeJoinRequest, suspiciousPatterns);
throw new SecurityError('Potential Sybil attack detected');
}
return true;
}
// Eclipse Attack Protection
async protectAgainstEclipseAttacks(nodeId, connectionRequests) {
const diversityMetrics = this.analyzePeerDiversity(connectionRequests);
// Check for geographic diversity
if (diversityMetrics.geographicEntropy < 2.0) {
await this.
---
*Content truncated.*
When not to use it
- →When working with centralized systems without consensus requirements
- →When the system complexity outweighs the security risk
Prerequisites
Limitations
- →High operational overhead for consensus nodes
- →Cryptographic implementations are sensitive to errors
How it compares
It provides specialized security orchestration for distributed consensus instead of general system security.
Compared to similar skills
agent-security-manager side by side with the closest alternatives in the catalog.
| Skill | Installs | Updated | Safety | Difficulty |
|---|---|---|---|---|
| agent-security-manager (this skill) | 3 | 6mo | No flags | Advanced |
| cosmos-vulnerability-scanner | 3 | 2mo | No flags | Advanced |
| token-integration-analyzer | 1 | 2mo | No flags | Advanced |
| skills | 0 | 27d | Review | Intermediate |
Try saying
Example prompts that trigger this skill in your AI assistant.
More by ruvnet
View all by ruvnet →You might also like
cosmos-vulnerability-scanner
trailofbits
Scans Cosmos SDK blockchains for 9 consensus-critical vulnerabilities including non-determinism, incorrect signers, ABCI panics, and rounding errors. Use when auditing Cosmos chains or CosmWasm contracts.
token-integration-analyzer
trailofbits
Token integration and implementation analyzer based on Trail of Bits' token integration checklist. Analyzes token implementations for ERC20/ERC721 conformity, checks for 20+ weird token patterns, assesses contract composition and owner privileges, performs on-chain scarcity analysis, and evaluates how protocols handle non-standard tokens. Context-aware for both token implementations and token integrations.
skills
zhaoxuya520
本目录收录了一系列逆向工程相关的技能模块,每个子目录是一个独立模块,内含 `SKILL.md` 描述其适用场景、工具链和工作流程。
solidity-security
wshobson
Master smart contract security best practices to prevent common vulnerabilities and implement secure Solidity patterns. Use when writing smart contracts, auditing existing contracts, or implementing security measures for blockchain applications.
supabase-rls-policy-generator
hopeoverture
This skill should be used when the user requests to generate, create, or add Row-Level Security (RLS) policies for Supabase databases in multi-tenant or role-based applications. It generates comprehensive RLS policies using auth.uid(), auth.jwt() claims, and role-based access patterns. Trigger terms include RLS, row level security, supabase security, generate policies, auth policies, multi-tenant security, role-based access, database security policies, supabase permissions, tenant isolation.
backend-security-coder
sickn33
Expert in secure backend coding practices specializing in input validation, authentication, and API security. Use PROACTIVELY for backend security implementations or security code reviews.