inkog

Instructions

Implementation Reference

• src/tools/skill-scan.ts:139-344 (handler)

  The handler function `handleSkillScan` performs the actual scanning logic by interacting with the Inkog API and formatting the findings into a readable string.

  async function handleSkillScan(args: Record<string, unknown>): Promise<ToolResult> {
    const parsed = SkillScanArgsSchema.parse(args);
  
    try {
      const client = getClient();
      let response: SkillScanResponse;
  
      if (parsed.repository_url) {
        response = await client.scanSkill({
          repositoryUrl: parsed.repository_url,
        });
      } else if (parsed.path) {
        // For local paths, we'd need to read files and upload
        // For now, return an error suggesting CLI usage
        return {
          content: [
            {
              type: 'text',
              text: 'Local path scanning is best done via the CLI:\n\n```bash\ninkog skill-scan ' + parsed.path + '\n```\n\nFor repository scanning, use repository_url.',
            },
          ],
        };
      } else {
        return {
          content: [
            {
              type: 'text',
              text: 'Please provide either repository_url or path.',
            },
          ],
          isError: true,
        };
      }
  
      if (!response.success || !response.result) {
        return {
          content: [
            {
              type: 'text',
              text: `Skill scan failed: ${response.error ?? 'Unknown error'}`,
            },
          ],
          isError: true,
        };
      }
  
      // Format the results
      const result = response.result;
      const lines: string[] = [];
  
      lines.push(`# Skill Security Scan: ${result.name || 'Unknown'}`);
      lines.push('');
      lines.push(`**Overall Risk:** ${formatRiskBadge(result.overall_risk)}`);
      lines.push(`**Security Score:** ${result.security_score}/100`);
      lines.push(`**Files Scanned:** ${result.files_scanned} | **Lines:** ${result.lines_of_code}`);
      lines.push('');
  
      // Permissions
      if (result.permissions) {
        const p = result.permissions;
        lines.push('## Permissions');
        lines.push(formatPermission('File Access', p.file_access));
        lines.push(formatPermission('Network Access', p.network_access));
        lines.push(formatPermission('Code Execution', p.code_execution));
        lines.push(formatPermission('Database Access', p.database_access));
        lines.push(formatPermission('Environment Access', p.environment_access));
        lines.push(`**Scope:** ${p.scope}`);
  
        if (p.code_execution && p.network_access && (p.file_access || p.environment_access)) {
          lines.push('');
          lines.push('⚠️ **LETHAL TRIFECTA DETECTED:** Code Execution + Network + File/Env Access');
        }
        lines.push('');
      }
  
      // Tools
      if (result.tool_analyses?.length > 0) {
        lines.push(`## Tools (${result.tool_analyses.length})`);
        for (const tool of result.tool_analyses) {
          const riskIcon = tool.risk_level === 'dangerous' ? '🔴' :
                           tool.risk_level === 'moderate' ? '🟡' : '🟢';
          lines.push(`- ${riskIcon} **${tool.name}** [${tool.risk_level}]`);
          if (tool.attack_vectors?.length) {
            for (const v of tool.attack_vectors) {
              lines.push(`  - Attack vector: ${v}`);
            }
          }
        }
        lines.push('');
      }
  
      // Findings
      if (result.findings.length > 0) {
        lines.push(`## Findings (${result.findings.length})`);
        lines.push(`🔴 Critical: ${result.critical_count} | 🟠 High: ${result.high_count} | 🟡 Medium: ${result.medium_count} | 🟢 Low: ${result.low_count}`);
        lines.push('');
  
        for (let i = 0; i < result.findings.length; i++) {
          const f = result.findings[i]!;
          lines.push(`### ${formatSeverityIcon(f.severity)} #${i + 1}: ${f.title}`);
          if (f.file) {
            lines.push(`📁 ${f.file}${f.line ? `:${f.line}` : ''}`);
          }
          if (f.tool_name) {
            lines.push(`🔧 Tool: ${f.tool_name}`);
          }
          lines.push(f.description);
          if (f.owasp_agentic || f.owasp_mcp) {
            const refs: string[] = [];
            if (f.owasp_agentic) refs.push(`OWASP Agentic: ${f.owasp_agentic}`);
            if (f.owasp_mcp) refs.push(`OWASP MCP: ${f.owasp_mcp}`);
            lines.push(`📋 ${refs.join(' | ')}`);
          }
          lines.push(`💡 ${f.remediation}`);
          lines.push('');
        }
      } else {
        lines.push('## ✅ No security findings detected');
      }
  
      // Deep scan flow
      if (parsed.deep && response.scan_id) {
        lines.push('');
        lines.push('---');
        lines.push('## 🔬 Deep Analysis');
        lines.push('Triggering AI deep analysis...');
  
        try {
          await client.triggerSkillDeepScan(response.scan_id);
        } catch {
          lines.push('⚠️ Could not trigger deep analysis. Returning standard results.');
          return {
            content: [{ type: 'text', text: lines.join('\n') }],
          };
        }
  
        const deadline = Date.now() + 15 * 60 * 1000;
        let deepDone = false;
  
        while (Date.now() < deadline) {
          await sleep(5000);
          try {
            const detail: SkillScanDetailResponse = await client.getSkillScan(response.scan_id);
            const status = detail.scan?.ai_scan_status as string | undefined;
  
            if (status === 'completed') {
              const deepOutput = formatDeepFindings(detail.scan);
              if (deepOutput) {
                lines.push(deepOutput);
              } else {
                lines.push('✅ Deep analysis completed — no additional findings.');
              }
              deepDone = true;
              break;
            }
            if (status === 'failed') {
              lines.push('⚠️ Deep analysis failed. Standard scan results are shown above.');
              deepDone = true;
              break;
            }
          } catch {
            // Polling error — continue waiting
          }
        }
  
        if (!deepDone) {
          lines.push('⏱️ Deep analysis timed out (15 min). Check the dashboard for results.');
        }
      }
  
      return {
        content: [
          {
            type: 'text',
            text: lines.join('\n'),
          },
        ],
      };
    } catch (err) {
      if (err instanceof InkogAuthError) {
        return {
          content: [{ type: 'text', text: '🔐 Authentication required. Set INKOG_API_KEY environment variable.' }],
          isError: true,
        };
      }
      if (err instanceof InkogRateLimitError) {
        return {
          content: [{ type: 'text', text: '⏳ Rate limited. Please wait and try again.' }],
          isError: true,
        };
      }
      if (err instanceof InkogNetworkError) {
        return {
          content: [{ type: 'text', text: '🌐 Network error. Check your connection and try again.' }],
          isError: true,
        };
      }
      if (err instanceof InkogApiError) {
        return {
          content: [{ type: 'text', text: `❌ API error: ${err.message}` }],
          isError: true,
        };
      }
      throw err;
    }
  }

• src/tools/skill-scan.ts:26-50 (schema)

  Input validation schema for the skill scan tool parameters.

  const SkillScanArgsSchema = z
    .object({
      repository_url: z
        .string()
        .url()
        .optional()
        .describe('GitHub repository URL of the skill package to scan'),
      path: z
        .string()
        .optional()
        .describe('Local path to the skill package directory'),
      deep: z
        .boolean()
        .optional()
        .default(false)
        .describe('Enable AI deep analysis (slower but catches novel threats)'),
    })
    .refine(
      (data) =>
        data.repository_url !== undefined ||
        data.path !== undefined,
      {
        message: 'Either repository_url or path must be provided',
      }
    );

• src/tools/skill-scan.ts:350-379 (registration)

  Definition and registration of the 'inkog_skill_scan' tool, which maps the tool name and schema to the handler function.

  export const skillScanTool: ToolDefinition = {
    tool: {
      name: 'inkog_skill_scan',
      description:
        'Scan SKILL.md packages and agent tool definitions for security vulnerabilities. ' +
        'Detects tool poisoning, command injection, data exfiltration, prompt injection, excessive permissions, ' +
        'obfuscation, supply chain risks, and more. Maps findings to OWASP Agentic Top 10 and OWASP MCP Top 10. ' +
        'Set deep=true for AI-powered deep analysis (~10 min, catches novel threats). ' +
        'For MCP server scanning, use inkog_mcp_scan instead.',
      inputSchema: {
        type: 'object' as const,
        properties: {
          repository_url: {
            type: 'string',
            description: 'GitHub repository URL of the skill package',
          },
          path: {
            type: 'string',
            description: 'Local path to skill package directory',
          },
          deep: {
            type: 'boolean',
            description: 'Enable AI deep analysis',
            default: false,
          },
        },
      },
    },
    handler: handleSkillScan,
  };