devhive1/devhive-cli

security_scan

Run runDependencyAudit, runSastScan, and runHoundDogScan and return a concise, prioritized security summary with critical/high findings first.

Quelltext ansehen

Verwendung

  1. Installationsbefehl kopieren und das Quellpaket vor der Installation in der eigenen Agentenumgebung prüfen.
  2. Benötigte Werkzeuge, Zugangsdaten und Hosts im Original prüfen.
  3. Eingabe und gewünschtes Ergebnis beschreiben und die Ausgabe mit den Quellen abgleichen.
npx skills add https://github.com/devhive1/devhive-cli --skill security_scan

Vor dem Start

  • Die Installation umfasst weder Modellabo noch API-Kontingent oder Dateizugriffsrechte.
  • Sterne und Installationen zeigen Aktivität, keine unabhängige Qualitäts- oder Sicherheitsprüfung.
Originales Skill-Dokument

Aus dem Quell-Repository gerendert; Überschriften, Beispiele, Code, Tabellen, Links und Bilder bleiben erhalten.

Security Scan Skill

Run three independent scanners and summarize results:

  • runDependencyAudit() for package/dependency vulnerabilities
  • runSastScan() for static code findings
  • runHoundDogScan() for privacy/security dataflow findings

Orchestration

For full scans, run scanners in parallel and tolerate per-scanner failures.

javascript
const [depResult, sastResult, hounddogResult] = await Promise.allSettled([
  runDependencyAudit(),
  runSastScan(),
  runHoundDogScan(),
]);

const dep = depResult.status === 'fulfilled' ? depResult.value : null;
const sast = sastResult.status === 'fulfilled' ? sastResult.value : null;
const hounddog =
  hounddogResult.status === 'fulfilled' ? hounddogResult.value : null;

Do not fail the whole scan because one scanner errors.

Minimal Response Shape

  • runDependencyAudit()
  • metadata.vulnerabilities: { info, low, moderate, high, critical }
  • vulnerabilities[]: id, package, severity, fix, source
  • runSastScan()
  • results[]: checkId, message, severity, fingerprint, location
  • runHoundDogScan()
  • vulnerabilities[]: hash, ruleIds, message, severity, location, privacyViolations, remediation*

Reporting Findings

After analysis is complete, call reportVulnerabilities with the file paths of all vulnerability files in .local/potential_vulnerabilities/. Each file must use YAML front-matter with title, level, and optionally file_ranges:

yaml
---
title: "Hardcoded database credentials"
level: critical
file_ranges:
  - filepath: "config/database.py"
    range_start: 1
    range_end: 2
---
Description of the vulnerability.

Call the callback via code execution:

javascript
await reportVulnerabilities([
  { filePath: ".local/potential_vulnerabilities/hardcoded-secrets-database.md" },
  { filePath: ".local/potential_vulnerabilities/sql-injection-login.md" },
]);

This emits a ProposedVulnerabilitiesEventData event for the UI. Call this after writing vulnerability files — writing the files alone is not sufficient to surface findings to the user. If the scan finds no vulnerabilities, skip this callback.

Output Expectations

Return concise results instead of dumping full payloads:

  1. Per scanner: status (ok or error) and count by severity.
  2. Top critical/high findings with file path and short message.
  3. A short remediation plan, with risky/breaking changes clearly called out.

Verwandte Aufgaben

aus demselben Repository

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